Learning to Plan with Uncertain Topological Maps. - Edward Beeching; Jilles Dibangoye; Olivier Simonin 001; Christian Wolf 001 (ECCV (3), 2020)

Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer. - Edward Beeching; Jilles Dibangoye; Olivier Simonin 001; Christian Wolf 001 (ICPR, 2020)

EgoMap: Projective Mapping and Structured Egocentric Memory for Deep RL. - Edward Beeching; Jilles Dibangoye; Olivier Simonin 001; Christian Wolf 001 (ECML/PKDD (2), 2020)

Godot Reinforcement Learning Agents. - Edward Beeching; Jilles Dibangoye; Olivier Simonin 001; Christian Wolf 001 (CoRR, 2021)

Graph augmented Deep Reinforcement Learning in the GameRLand3D environment. - Edward Beeching; Maxim Peter; Philippe Marcotte; Jilles Dibangoye; Olivier Simonin 001; Joshua Romoff; Christian Wolf 001 (CoRR, 2021)

Large-scale automatic learning of autonomous agent behavior with structured deep reinforcement learning. (Apprentissage automatique à grande échelle du comportement des agents autonomes avec apprentissage structuré par renforcement profond). - Edward Beeching (2022)

Zephyr: Direct Distillation of LM Alignment. - Lewis Tunstall; Edward Beeching; Nathan Lambert 001; Nazneen Rajani; Kashif Rasul; Younes Belkada; Shengyi Huang; Leandro von Werra; Clémentine Fourrier; Nathan Habib; Nathan Sarrazin; Omar Sanseviero; et al. (CoRR, 2023)

Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent. - Quentin Gallouédec; Edward Beeching; Clément Romac; Emmanuel Dellandréa (CoRR, 2024)

Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning. - Yuxiao Qu; Matthew Y. R. Yang; Amrith Setlur; Lewis Tunstall; Edward Emanuel Beeching; Ruslan Salakhutdinov; Aviral Kumar (CoRR, 2025)