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cs.LG2021★ 2 cited
Graph augmented Deep Reinforcement Learning in the GameRLand3D environment
Edward Beeching, Maxim Peter, Philippe Marcotte +4
We address planning and navigation in challenging 3D video games featuring maps with disconnected regions reachable by agents using special actions. In this setting, classical symb…
cs.LG2021★ 23 cited
Causal Reinforcement Learning using Observational and Interventional Data
Maxime Gasse, Damien Grasset, Guillaume Gaudron +1
Learning efficiently a causal model of the environment is a key challenge of model-based RL agents operating in POMDPs. We consider here a scenario where the learning agent has the…