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Finding Options that Minimize Planning Time.

, , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 3120-3129. PMLR, (2019)

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State Abstraction as Compression in Apprenticeship Learning., , , , , и . AAAI, стр. 3134-3142. AAAI Press, (2019)Filtered Direct Preference Optimization., , , , и . CoRR, (2024)Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding., , , и . ACL (Findings), стр. 8494-8525. Association for Computational Linguistics, (2024)Policy and Value Transfer in Lifelong Reinforcement Learning., , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 20-29. PMLR, (2018)Parallel A* for State-Space Search., , , и . Handbook of Parallel Constraint Reasoning, Springer, (2018)Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search., , , , и . AAAI, стр. 9983-9991. AAAI Press, (2020)Discovering Options for Exploration by Minimizing Cover Time., , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 3130-3139. PMLR, (2019)Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding., и . ACL (Findings), стр. 8547-8566. Association for Computational Linguistics, (2024)Annotation-Efficient Preference Optimization for Language Model Alignment., и . CoRR, (2024)Automated Creation of Efficient Work Distribution Functions for Parallel Best-First Search., и . ICAPS, стр. 184-192. AAAI Press, (2016)