Lifted Bellman Linear Programming for Offline Reinforcement Learning
Offline reinforcement learning (RL) typically trains a critic by minimizing a regression loss against bootstrapped value targets stabilized by target networks with exponential moving average (EMA) updates. Multi-step targets incorporate behavior-policy actions and therefore require off-policy correction. We instead imp...
Hyukjun Yang, Jongchan Park, Narim Jeong et al.
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