Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning

Jianlan Luo, Perry Dong, Jeffrey Wu +3

The offline reinforcement learning (RL) paradigm provides a general recipe to convert static behavior datasets into policies that can perform better than the policy that collected…