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A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines.

, и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 27159-27178. PMLR, (2022)

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Zhou Zhou

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Verification and Design of Robust and Safe Neural Network-enabled Autonomous Systems., , , , , , , и . Allerton, стр. 1-8. IEEE, (2023)REGLO: Provable Neural Network Repair for Global Robustness Properties., , , , , , , , и . AAAI, стр. 12061-12071. AAAI Press, (2024)Programmatic Reward Design by Example., и . AAAI, стр. 9233-9241. AAAI Press, (2022)A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines., и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 27159-27178. PMLR, (2022)Runtime-Safety-Guided Policy Repair., , , , и . RV, том 12399 из Lecture Notes in Computer Science, стр. 131-150. Springer, (2020)Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning., , и . ICML, OpenReview.net, (2024)