Off-Policy Reinforcement Learning with Loss Function Weighted by Temporal Difference Error

Bumgeun Park, Taeyoung Kim, Woohyeon Moon +2

Training agents via off-policy deep reinforcement learning (RL) requires a large memory, named replay memory, that stores past experiences used for learning. These experiences are…