Robot Policy Learning with Temporal Optimal Transport Reward

Yuwei Fu, Haichao Zhang, Di Wu +2

Reward specification is one of the most tricky problems in Reinforcement Learning, which usually requires tedious hand engineering in practice. One promising approach to tackle thi…