PSPO combines Bayesian posterior sampling of transition dynamics with constrained policy optimization to trade off generalization and robustness in offline RL.
Bayesian reinforcement learning: A survey
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
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.