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Model Selection in Batch Policy Optimization., , , and . CoRR, (2021)Near Optimal Policy Optimization via REPS., , , and . NeurIPS, page 1100-1110. (2021)Approximate Sherali-Adams Relaxations for MAP Inference via Entropy Regularization., , and . CoRR, (2019)Accelerated Message Passing for Entropy-Regularized MAP Inference., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 5736-5746. PMLR, (2020)Supervised Pretraining Can Learn In-Context Reinforcement Learning., , , , , , and . CoRR, (2023)Dynamic regret convergence analysis and an adaptive regularization algorithm for on-policy robot imitation learning., , , , and . Int. J. Robotics Res., (2021)A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning., , , , and . WAFR, volume 14 of Springer Proceedings in Advanced Robotics, page 212-227. Springer, (2018)Online Model Selection for Reinforcement Learning with Function Approximation., , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 3340-3348. PMLR, (2021)Convergence Rates of Smooth Message Passing with Rounding in Entropy-Regularized MAP Inference., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3003-3014. PMLR, (2020)Experiment Planning with Function Approximation., , and . CoRR, (2024)