Accepted papers

• TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning

Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén

• Real-Time Diffusion Policies for Games: Enhancing Consistency Policies with Q-Ensembles 

Ruoqi Zhang, Ziwei Luo, Jens Sjölund, Per Mattsson, Linus Gisslén, Alessandro Sestini

• Craftium: Bridging Flexibility and Efficiency for Rich 3D Single- and Multi-Agent Environments

Mikel Malagón, Josu Ceberio, Jose A. Lozano

• Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models

Alex Zook, Josef B. Spjut, Jonathan Tremblay

• Self-correcting Reward Shaping via Language Models for Reinforcement Learning Agents in Games

António Afonso, Iolanda Leite, Alessandro Sestini, Florian Fuchs, Konrad Tollmar, Linus Gisslén

• Procedural Generation of Semantically Correct Levels in Video Games using Reward Shaping

Luke Kerker, Pravesh Ranchod, Branden Ingram

• Comparing High Entropy Reinforcement Learning to Navmesh for Automated Collision Bug Testing

Aurélien Chambon, Nicolas Grelier

• Belief Embedding Tree Search

Christopher Solinas, Radovan Haluška, Pavel Yanushonak, David Sychrovský, Michael Buro, Martin Schmid, Nathan R. Sturtevant, Michael Bowling

• Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning

Matej Straka, Martin Schmid

• Behavioral Suite Analysis of Self-Supervised Learning in Atari

Somjit Nath, Rishav Rishav, Gopeshh Subbaraj, Derek Nowrouzezahrai, Samira Ebrahimi Kahou

• Human-AI Alignment of Learning Trajectories in Video Games: a continual RL benchmark proposal

Yann Harel, Lune P Bellec, François Paugam, Hugo Delhaye, Audrey Durand

• Offline Goal-Conditioned Reinforcement Learning with Projective Quasimetric Planning

Anthony Kobanda, Waris Radji, Mathieu Petitbois, Odalric-Ambrym Maillard, Rémy Portelas

• Exploring Model-based Shielding for Non-Player Character Behaviour

William Ahlberg, Alessandro Sestini, Konrad Tollmar, Linus Gisslén, Iolanda Leite

• PixelBot: Learning To Imitate Game Testing Behaviors from Offline Pixel-based Demonstrations

Sherif Abdelfattah, Farrukh Rahman, Adrian Brown

• Objects Matter: Object-Centric World Models Improve Reinforcement Learning in Visually Complex Environments

Weipu Zhang, Adam Jelley, Trevor McInroe, Amos Storkey