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iGGi Team (All) iGGi is a collaboration between Uni of York + Queen Mary Uni of London: the largest training programme worldwide for doing a PhD in digital games. The iGGi Team (Management Team) Meet the iGGi Team! The iGGi Team consists of the Management Team (managers/administrators and co-investigators) as well as independent assessors who are external to the current iGGi universities (QMUL/York). It also includes representatives of university partners of the first iGGi funding round (2014-2018) during which Goldsmiths and the University of Essex recruited 5 cohorts of PGRs - some of these PGRs are still active. The iGGi Team is ensuring the deliverance and smooth running of the iGGi Programme in the way it was envisaged in the iGGi (grant) bid. The Team's daily tasks center around supporting the iGGi PGRs on their journey to completing their PhD, and on building and fostering the iGGi Community. Filter by Location iGGi Staff / Externals Filter by Role Title - All Staff - Prof. Paul Cairns iGGi Chair University of York Chair of iGGi and iGGi lead at UoY; iGGi management + leadership; iGGi finances + decision making; focus on iGGi-internal matters; management of local staff + administration Read More Susanne Binder iGGi Manager Queen Mary University of London Manager of iGGi at QMUL; local iGGi PGR admin; Industry liaison; PGR Pastoral care; iGGi-local finances; PR and website/social media, events & training; Supervisor community Read More Dr Raluca Gaina iGGi Outreach Coordinator Queen Mary University of London Outreach; ensures that iGGi papers + other publications reach the widest audience possible; events organisation Read More Dr Laurissa Tokarchuk iGGi Research Collaboration Coordinator Queen Mary University of London Research Collaboration for iGGi at QMUL; PGR + supervisor collaborations/KE; general chair for QMUL iGGi conferences; iGGi-internal collaboration fund; research-orientated events; promotion of open science + reproducibility; academic liaison Read More Prof. Simon Colton iGGi Co-Investigator Queen Mary University of London iGGi Co-Investigator at QMUL; Impact Lead; maintaining the iGGi "Vision" Read More Prof. Richard Bartle iGGi Co-Investigator University of Essex iGGi Co-Investigator at Essex; local management and contact point; Industry Liaison Read More Prof. Sebastian Deterding iGGi Responsible Innovation Lead Independent Assessor (external) across iGGi; develops + delivers RI training; acts as iGGi researcher ombudsman; develops + manages RI framework research, including EDI best practices ; RI workshops; ‘ethics clinic’ to PGRs + supervisors; stakeholder workshops Read More Prof. Peter Cowling iGGi Director Queen Mary University of London iGGi grant winner (PI) 2014 and 2019; Director of iGGi and iGGi lead at QMUL; iGGi vision, strategy + leadership; focus on external iGGi relations, especially Games Industry; delivery of the "iGGi vision"; management of local staff + administration Read More Dr Jeremy Gow iGGi Training Coordinator Queen Mary University of London iGGi Training Coordinator at QMUL; module content + delivery of training; approval of individual training needs; supervisor/researcher relations + 1st contact point for pastoral care Read More Dr Diego Pérez-Liébana iGGi Industry Liaison Queen Mary University of London Industry Liaison for iGGi at QMUL; industry collaborations, placements and related approvals/reports Read More Dr Debbie Maxwell iGGi Research Collaboration Coordinator University of York Research Collaboration for iGGi at UoY; PGR + supervisor collaborations/KE; general chair for UoY iGGi conferences; iGGi-internal collaboration fund; research-orientated events; promotion of open science + reproducibility; academic liaison Read More Helen Tilbrook iGGi Administrator University of York Administrator for iGGi at UoY; general admin; PGR + staff travel/room bookings; research expenses + purchases; PGR recruitment admin; progression monitoring; alumni; PGR support Read More Prof. William Latham iGGi Co-Investigator Goldsmiths iGGi Co-Investigator at Goldsmiths; local management + contact point; Industry Liaison Read More Oliver Roughton iGGi Administrator University of York Administrator for iGGi at UoY; general admin; PGR + staff travel/room bookings; research expenses + purchases; PGR support Read More David Hull iGGi Manager University of York Manager of iGGi at UoY; local & global iGGi PGR admin; PGR recruitment; PGR Pastoral care; iGGi-global finances; iGGi community; events & training; EPSRC reporting Read More Dr Ben Kirman iGGi Training Coordinator University of York iGGi Training Coordinator at UoY; module content + delivery of training; approval of individual training needs; supervisor/researcher relations + 1st contact point for pastoral care Read More Dr James Walker iGGi Industry Liaison University of York Industry Liaison for iGGi at UoY; industry collaborations, placements and related approvals/reports Read More Prof. Simon Lucas iGGi Co-Investigator Queen Mary University of London iGGi Co-Investigator at QMUL; QMUL Game AI Group Chair; Turing Institute + DERI liaison; QMUL staff and resource issues; maintaining the iGGi “Vision” Read More Shopna Begum iGGi Administrator Queen Mary University of London Administrator for iGGi at QMUL; general admin; PGR travel/room bookings; research expenses + purchases; progression monitoring; newsletter; local PGR support; events support Read More Dr Catherine Flick iGGi Responsible Innovation Lead Independent Assessor (external) across iGGi; develops + delivers RI training; acts as iGGi researcher ombudsman; develops + manages RI framework research, including EDI best practices ; RI workshops; ‘ethics clinic’ to PGRs + supervisors; stakeholder workshops Read More

PGR for Placement iGGi is a collaboration between Uni of York + Queen Mary Uni of London: the largest training programme worldwide for doing a PhD in digital games. iGGi PG Researchers Available for Placement or Seeking Post-PhD Position The iGGi Programme includes that each PG Researcher (PGR) on the iGGi Programme will spend a minimum of 8 weeks, but typically around 3-6 months, on placement in the games industry. Companies who have worked with IGGI researchers on knowledge exchange placements include big players such as Google Deep Mind, Microsoft, and Sony, but also a number of SMEs like Splash Damage, Revolution Software, Ninja Theory, and Die Gute Fabrik Story Tech. Some PGRs choose to go on more than one placement with either the same or different companies. The listing below shows PGRs who are currently available for placement. Additionally, you can also find Researchers who are close to completing their doctorate and are looking for Post-PhD Positions in either Industry or Academia. Filter by iGGi Theme Accessibility Applied Games Creative Computing Design & Development Esports Game AI Game Audio Game Data Immersive Technology Player Research Filter by Location Filter by Start Year Filter by placement/work status Doruk Balcı iGGi PG Researcher Available for placement Design & Development, Player Research Read More Steph Carter iGGi PG Researcher Available for placement Applied Games, Design & Development, Player Research, Accessibility, Game Data Read More Tania Dales iGGi PG Researcher Available for placement Game AI, Design & Development, Immersive Technology, Player Research Read More Ross Fifield iGGi PG Researcher Player Research Read More Tamsin Isaac iGGi PG Researcher Available for placement Applied Games, Design & Development, Player Research Read More Joshua Kritz iGGi PG Researcher Available for placement Game AI, Applied Games, Design & Development Read More Nicole Levermore iGGi PG Researcher Available for placement Design & Development, Immersive Technology, Accessibility, Player Research Read More Sarah Masters iGGi PG Researcher Available for post-PhD position Applied Games, Design & Development, Player Research Read More Prakriti Nayak iGGi PG Researcher Available for placement Applied Games, Accessibility, Player Research Read More Younès Rabii iGGi PG Researcher Available for post-PhD position Game AI, Creative Computing, Design & Development Read More Philip Smith iGGi PG Researcher Available for placement Applied Games, Design & Development Read More Tom Wells iGGi PG Researcher Available for placement Read More Ruizhe "Jay" Yu Xia iGGi PG Researcher Available for placement Game AI, Game Data Read More Nirit Binyamini Ben Meir iGGi PG Researcher Available for placement Applied Games, Design & Development, Creative Computing Read More Karl Clarke iGGi PG Researcher Available for placement Design & Development, Immersive Technology, Player Research Read More Rory Davidson iGGi PG Researcher Available for post-PhD position Player Research, Applied Games, Design & Development Read More Alex Flint iGGi PG Researcher Available for placement Design & Development, Player Research Read More Cameron Johnston iGGi PG Researcher Available for placement Design & Development, Creative Computing Read More Dr Laura Helsby iGGi Alum Player Research, Applied Games Read More Océane Lissillour iGGi PG Researcher Available for placement Design & Development, Player Research Read More Dimitris Menexopoulos iGGi PG Researcher Available for post-PhD position Game Audio, Creative Computing Read More Dien Nguyen iGGi PG Researcher Available for placement Game AI, Applied Games, Design & Development, Creative Computing Read More Prasad Sandbhor iGGi PG Researcher Available for placement Applied Games, Design & Development Read More Luiza Gossian iGGi PG Researcher Available for placement Applied Games, Design & Development Read More Oliver Withington iGGi PG Researcher Available for post-PhD position Game AI, Creative Computing, Design & Development Read More Toby Best iGGi PG Researcher Available for placement Game AI, Design & Development, Player Research Read More Dan Cooke iGGi PG Researcher Available for placement Esports, Game Data, Player Research Read More Dr Kevin Denamganaï iGGi Alum Available for post-PhD position Game AI Read More Francesca Foffano iGGi PG Researcher Available for post-PhD position Player Research Read More Bobby Khaleque iGGi PG Researcher Available for post-PhD position Creative Computing, Game AI Read More Nicole Levermore Alumni Liaison Design & Development, Immersive Technology, Accessibility, Player Research Read More George Long iGGi PG Researcher Available for placement Game AI, Design & Development, Game Data Read More Sahar Mirhadi iGGi PG Researcher Available for post-PhD position Player Research Read More Dr Alan Pedrassoli Chitayat iGGi Alum Available for post-PhD position Design & Development, Game Data, Esports Read More Amy Smith iGGi PG Researcher Available for post-PhD position Creative Computing, Player Research Read More Sunny Thaicharoen iGGi PG Researcher Available for post-PhD position Player Research, Game Data, Esports Read More Dr Kyle Worrall iGGi Alum Available for post-PhD position Game Audio, Creative Computing Read More

We are "Welcoming inclusive Games & Games inclusivity (WiGGi). Our members are staff and students working within the iGGi programme, which is an interdisciplinary team of researchers working in video games research. iGGi WiGGi - Welcoming inclusive Games and Games inclusivity - Introducing WiGGi We are Welcoming inclusive Games and Games inclusivity (WiGGi). We strongly believe that working in video games, whether that be in an academic setting or in industry, should be an inclusive and friendly environment where underrepresented groups (ethnic or cultural minorities, minority genders, religious background etc) especially can thrive and be heard. WiGGi holds the advocacy for these underrepresented groups in video games at the forefront of its agenda, making sure that events we plan, organisations we partner with and the topics we address are topical and engaging for people of a range of backgrounds. Our members are staff and students working within the iGGi programme, which is an interdisciplinary team of researchers working in video games research. We hold meetings every Wednesday, as well as roundtable discussions we call ‘Firesides’ every so often to talk with a range of people about a given relevant topic. For example, one of our Firesides discussed ‘Video games for positive change’. Get involved We would love to partner with more organisations that share a similar goal, or invite in more video game researchers or industry to take part in our events. If you would like to know more or get involved in some way, please contact us via our email: . WiGGi Members Tania Dales Tamsin Isaac Susanne Binder Prakriti Nayak Océane Lissillour Nicole Levermore Lauren Winter Dr Raluca Gaina Alex Flint BLOG Fireside Chat on Video Games for Positive Change Our most recent fireside discussed ‘Video games for positive change’. Our fireside chat on video games for social change was an engaging and thought-provoking discussion. We delved deeply into the representation of women in video games and explored how these portrayals impact our gaming experiences. This focus sparked an exchange of diverse perspectives, highlighting how inclusive representation can shape and transform player engagement. Each participant brought unique insights on how characters and narratives influence players’ connection to games and reflect broader social themes. Through this dialogue, we gained a richer understanding of how thoughtfully crafted games can inspire change and foster empathy, creating a more inclusive gaming culture for everyone.

< Back Dr Tara Collingwoode-Williams Goldsmiths iGGi Alum Tara is an IGGI PhD student from Goldsmiths University taking her Mphil/PhD in Intelligent Games/Game intelligence with a focus on Avatar Embodiment and Interaction within Virtual Reality. Before this she graduated with a Bsc in Creative Computing. Over the years, her interdisciplinary profile has enabled her to work as a Technical Support and Researcher with many organisations in relation to her research, such as UCL, Great Ormond Street Hospital, George Mason Serious Games Institute in the United States where she also co-lectured a XR Games Module and, more recently as an Associate Lecturer in Goldsmiths University teaching Unity based XR experience development. Currently, she is contracting for USTech as an Assistant UX researcher at Facebook whilst completing her PhD program. With this rise in demand for Head Mounted Displays (HMDs), so is the need to create Embodied Shared Virtual Environments (ESVE) where users may experience authentic social interactions. Tara’s research presents an exploratory examination of Embodiment - meaning the subjective feeling of owning a virtual representation in VR, and specifically Consistency in Embodiment - relating to how we prioritize and syncronise objective attributes of embodiment (i.e avatar representation) in order to create ESVEs which supports more intuitive social interaction. The goal is to understand how different technical setups could have a psychological impact on participants' experiences in ESVE. This research hopes to inform development of successful social interaction in a variety of applications in VR, ranging from training to gaming. Tara presently holds a position as Lekturer in VR at Goldsmiths, Universtiy of London. Email tc.williams@gold.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Featured Publication(s): Delivering Bad News: VR Embodiment of Self Evaluation in Medical Communication Training The impact of self-representation and consistency in collaborative virtual environments G487 (P) Is clinician gaze and body language associated with their ability to identify safeguarding cues? Evaluating virtual reality experiences through participant choices A discussion of the use of virtual reality for training healthcare practitioners to recognize child protection issues A study of professional awareness using immersive virtual reality: the responses of general practitioners to child safeguarding concerns The effect of lip and arm synchronization on embodiment: a pilot study Themes Applied Games Player Research - Previous Next

< Back Dr Mihail Morosan University of Essex iGGi Alum Computational Intelligence and Game Balance. (Industry placement at MindArk) Game design has been a staple of human ingenuity and innovation for as long as games have been around. From sports, such as football, to applying game mechanics to the real world, such as reward schemes in shops, games have impacted the world in surprising ways. This process can, and should, be aided by automated systems, as machines have proven to be capable of finding innovative ways to complement human intuition and inventiveness. When man and machine cooperate, better products are created and the world has only to benefit. My research seeks to find, test and assess methods to apply computational intelligence to human-led game balance. Early research has proven that AI can successfully aid game designers in analysing the viability of various game rules and I intend to document this and polish the techniques that will result from my work. To achieve this, I am making use of cutting edge algorithms, powerful AI techniques and novel methods. Most of the current work done involves the use of evolutionary algorithms, as well as statistical analysis and evaluation of intelligent agents in various video games. Programmer (with a focus on optimisation and quick deliverables, mostly due to competitive experience), gamer (games are fun, relaxing and a great social experience), technology consumer (comes with the programmer bit) and all around happy guy stumbling through the world. Once ended up in a management internship at a bank thinking the application was for a programming position. And another time told an interviewer that "buying and eating a burger to solve hunger" is a legitimate problem-solving skill. Somehow received an invitation to the next interview stage. Email me@morosanmihail.com Website LinkedIn Mastodon BlueSky GitHub Other Link Featured Publication(s): Automating game-design and game-agent balancing through computational intelligence Lessons from testing an evolutionary automated game balancer in industry Genetic optimisation of BCI systems for identifying games related cognitive states Online-Trained Fitness Approximators for Real-World Game Balancing Evolving a designer-balanced neural network for Ms PacMan Speeding up genetic algorithm-based game balancing using fitness predictors Automated game balancing in Ms PacMan and StarCraft using evolutionary algorithms Themes Design & Development Game AI Player Research - Previous Next

< Back Dr Athanasios Vasileios Kokkinakis University of York iGGi Alum Videogame Correlates of Real-Life Cognitive Traits Video-games have been increasingly gaining momentum and popularity, both with the public but also with the scientific world who has seen their usefulness in multiple areas. Researchers have been making bold claims of Videogames increasing Intelligence monopolizing the public’s attention and taking it away from what Videogames are excellent at; serving as diagnostic tools examining constructs such Reaction Times, Memory and fluid Intelligence. The sharp decline of the aforementioned concepts has been linked to multiple diseases such as the prodrome of Schizophrenia, Alzheimer’s and Dementia. Moreover, their measurement has been linked to important life outcomes such as Academic Achievement, Time in Unemployment, Unwanted Pregnancies and Mathematical Achievement among others. In my doctoral thesis I have correlated these constructs with the massively played video-game League of Legends. By cross-validating Psychometric measurements with Video-game metrics we can possibly identify at risk populations and stage Health Interventions or even identify “gifted” children or children that lag behind at an early age and place them in appropriate training curricula. He acquired his BSc in Psychology from the University of Bangor and he then went to complete his MSc in Cognitive Neuroscience at the University of York. In his first experiment he attempted to see whether “expert video-gamers” would show less Attentional Resources when compared to a control group of non-gamers and whether a short training session of approximately a week had any effects on the non-gamer group. His MSc, although not related to gaming, gave him valuable experience with EEG and MEG which he hopes to incorporate into his future experiments. In his most recent experiments he correlated psychometric Intelligence with Videogame Scores, more specifically League of Legends Tiers. He believes that these scores may give us insight on multiple developmental trajectories for instance healthy aging. Email athanasios dot kokkinakis *at* z)!gmail*com Website LinkedIn Mastodon BlueSky GitHub Other Link Prof. Alex Wade Prof. Peter Cowling Featured Publication(s): Data-Driven Audience Experiences in Esports Metagaming and metagames in Esports Videogame Correlates of Real Life Traits and Characteristics. Exploring the relationship between video game expertise and fluid intelligence Temporal and spatial localization of prediction-error signals in the visual brain What's in a name? Ages and names predict the valence of social interactions in a massive online game MEG adaptation resolves the spatiotemporal characteristics of face-sensitive brain responses Predicting skill learning in a large, longitudinal MOBA dataset Automatic Generation of Text for Match Recaps using Esport Caster Commentaries WARDS: Modelling the Worth of Vision in MOBA's DAX: Data-Driven Audience Experiences in Esports Time to die 2: Improved in-game death prediction in dota 2 Themes Esports Game AI Player Research Research Gate Google Scholar Previous Next

< Back Susanne Binder Queen Mary University of London iGGi Manager iGGi Admin iGGi Manager @ QMUL ; alongside David Hull (iGGi Manager @ UoY) , and supported by Shopna Begum , Helen Tilbrook and Oliver Roughton, she's mostly in charge of making things run at iGGi with particular focus on iGGi-QMUL-specific admin iGGi-QMUL-specific student concerns PR, website and social media industry liaison Email s.binder@qmul.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Themes - Previous Next

< Back Dr Terence Broad Goldsmiths iGGi Alum Terence Broad is an artist and researcher working on developing new techniques and interfaces for the manipulation of generative models. His PhD focusses on how pre-trained generative neural networks can be repurposed and reconfigured for authoring novel multimedia content. He is completing his PhD at Goldsmiths, University of London and is also a visiting researcher at the UAL Creative Computing Institute. His research has been published in international conferences, workshops and journals such as SIGGRAPH, NeurIPS, Leonardo and xCoAx. He was acknowledged as an outstanding peer-reviewer by the journal Leonardo. Terence is a practicing artist and often uses the techniques he has developed in his research in the creation of his artworks. His art has been exhibited and screened internationally at venues such as The Whitney Museum of American Art, Ars Electronica, The Barbican and The Whitechapel Gallery. He won the Grand Prize in the ICCV 2019 Computer Vision Art Gallery. Email t.broad@gold.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Featured Publication(s): XAIxArts Manifesto: Explainable AI for the Arts Using Generative AI as an Artistic Material: A Hacker's Guide Is computational creativity flourishing on the dead internet? Interactive Machine Learning for Generative Models Envisioning Distant Worlds: Fine-Tuning a Latent Diffusion Model with NASA's Exoplanet Data Active Divergence with Generative Deep Learning--A Survey and Taxonomy Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities Network Bending: Expressive Manipulation of Generative Models in Multiple Domains Active Divergence with Generative Deep Learning--A Survey and Taxonomy Network Bending: Expressive Manipulation of Deep Generative Models Amplifying The Uncanny Transforming the output of GANs by fine-tuning them with features from different datasets Searching for an (un) stable equilibrium: experiments in training generative models without data Autoencoding Blade Runner: Reconstructing Films with Artificial Neural Networks Light field completion using focal stack propagation Autoencoding video frames IoT and Machine Learning for Next Generation Traffic Systems Themes Creative Computing Design & Development - Previous Next

< Back Andrei Iacob University of Essex iGGi Alum Identifying Immersion in games using EEG and other measures (Industry placement at Sony SIE) The project aims to identify markers for immersion in player’s EEG signals. A few steps towards it include designing an experiment that reduces data noise and helps identify time frames for immersion during gameplay, recording EEG data among other “tests” to improve the accuracy of the state localization on a timeline. This research could prove useful for the games industry in a few ways: - it can provide tools for game testing (e.g. which parts of the game are immersive, which parts lack in that aspect) – thus making it easier to improve the game experience across the board; - it could also be used in making real-time adjustments to games (increase / decrease difficulty levels, pace, etc. to enhance the player’s immersion). Although the EEG data is the main focus of the project, it is not the only one. Correlations will be analyzed between different tests and in-game behaviors that should render even more information regarding the player’s state and mindset during gameplay. This information will be just as valuable and perhaps more readily available for widespread use in the near future. Andrei is a keen programmer and gamer. He graduated with a BSc (Hons) in Computer Science from the University of Essex. Andrei’s research interests are in the field of brain- computer interfaces and computer games. His hobbies include programming, gaming, guitar and skiing. Please note: Updating of profile text in progress Email Website LinkedIn Mastodon BlueSky GitHub Other Link Themes Player Research - Previous Next

< Back Shopna Begum Queen Mary University of London iGGi Administrator iGGi Admin iGGi Administrator at QMUL Shopna is part of the iGGi Admin Team which is responsible for the smooth running of iGGi. In her role as iGGi QMUL Administator she provides administrative services and pastoral care to PhD students and assists the iGGi QMUL Manager in key aspects of the Centre's management. Email shopna.begum@qmul.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Themes - Previous Next

< Back Dr Poonam Yadav University of York Supervisor Dr Yadav research is focused on making the Internet of Things (IoT) and edge computing-based distributed systems resilient, reliable, and robust. This is an interdisciplinary research area that requires expertise in system design and integration along with knowledge of sensor systems, wireless networking, and domain and contextual understanding. To achieve resilience and reliability in the area of resource constraints and distributed systems, I focus on coordination and collaboration using interactions among machines, humans and data entities. These interactions could be categorized as machine-to-machine (M2M), machine-to-human (M2H), and human-to-data (H2D), and involve many challenges such as collaborative trust, privacy, legibility and accountability. Dr Yadav is an active reviewer of many top-tier ACM/IEEE IoT and networking conferences and journals. Dr. Yadav leads ACM-W UK professional chapter and is featured as "People of ACM Europe" and among the top ten N2Women Rising Star in Computer networking and communications in 2020. Research themes: E-Sports Use of IoT in Games Gamifications Citizen Science Email poonam.yadav@york.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Themes Design & Development Esports Game Data - Previous Next

< Back Dr Dino Ratcliffe Queen Mary University of London iGGi Alum Teaching AI agents transferable skills for game playing My research focuses on the ability of an AI agent to be able to evaluate the various skills it would need to master a game, such as in an FPS (first person shooter) like doom. If the agent can learn to cluster actions that may split into strategies such as attacking enemies, gathering ammo/health and avoiding enemy fire this information could then be used in similar games. This information would also provide a base for being to evaluate players on a skill level, giving a much more granular view of their strengths and weaknesses in any of these games. This could then be used for better matchmaking in team games, placing players into teams whose skill sets complement each other. Other applications include being able to guide the player into situations that give them more experience in the areas they are weakest. Dino started a MSci in computer science at the University of Essex in 2011. During the next 4 years, he focused on modules that involved improving technical skills and Artificial Intelligence. He was the winner of the K.F Bowden Memorial prize in two separate years. Dino worked at the London startup Signal Media during the summer of 2014 and continued to work for them part time during my masters year. He graduated with a 1st class degree. Please note: Updating of profile text in progress Email Website LinkedIn Mastodon BlueSky GitHub Other Link Featured Publication(s): Cross-lingual style transfer with conditional prior VAE and style loss Author's declaration Win or learn fast proximal policy optimisation Domain Adaptation for Deep Reinforcement Learning in Visually Distinct Games Clyde: A deep reinforcement learning doom playing agent Themes Game AI - Previous Next