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Edward Beeching

I am a Machine Learning Research Scientist at Hugging Face. My research is predominantly preference fine-tuning of Large Language Models & Embodied Learning. My PhD is in Deep Reinforcement Learning approaches to planning and navigation in robotics, which I studied at INSA Lyon, as part of the INRIA CHROMA team.

Publications

Godot Reinforcement Learning Agents
Edward Beeching, Jilles Dibangoye, Olivier Simonin, Christian Wolf. (2021)
AAAI-22 Workshop on Reinforcement Learning in Games
PDF | Webpage | Code

Graph augmented Deep Reinforcement Learning in the GameRLand3D environment
Edward Beeching, Maxim Peter, Philippe Marcotte, Jilles Debangoye, Olivier Simonin, Joshua Romoff, Christian Wolf. (2021)
AAAI-22 Workshop on Reinforcement Learning in Games
PDF | Webpage | Code

Learning to plan in uncertain topological maps
Edward Beeching, Jilles Dibangoye, Olivier Simonin, Christian Wolf. (2020)
ECCV 2020 (spotlight)
PDF | Webpage | Code

EgoMap: Projective mapping and structured egocentric memory for Deep RL
Edward Beeching, Jilles Dibangoye, Olivier Simonin, Christian Wolf. (2020)
ECML-PKDD 2020
PDF | Webpage | Code

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

PhD Thesis

Large-scale Learning of Autonomous Agent Behavior with Structured Deep Reinforment Learning

Agent Examples

Agent behaviors learned with the Godot RL Agents Library

Image-goal based navigation in a 3D scan of our laboratory. The map is not provided to the agent.

Example of a Deep Reinforcement Learning Agent trained to collect a sequence of objects with the Advantage Actor Critic Algorithm. The map is not provided to the agent.