PSPO combines Bayesian posterior sampling of transition dynamics with constrained policy optimization to trade off generalization and robustness in offline RL.
Tw-crl: Time-weighted contrastive reward learning for efficient inverse reinforcement learning
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Offline Policy Optimization with Posterior Sampling
PSPO combines Bayesian posterior sampling of transition dynamics with constrained policy optimization to trade off generalization and robustness in offline RL.