most citedGraph augmented Deep Reinforcement Learning in the GameRLand3D environment

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

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…