Recurrent Action Transformer with Memory

Egor Cherepanov, Alexey Staroverov, Alexey K. Kovalev +1

Transformers have become increasingly popular in offline reinforcement learning (RL) due to their ability to treat agent trajectories as sequences, reframing policy learning as a s…