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Neural Architecture Search using Deep Neural Networks and Monte Carlo Tree Search

, , , , and . (2018)cite arxiv:1805.07440Comment: To appear in the Thirty-Fourth AAAI conference on Artificial Intelligence (AAAI-2020).

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State Abstraction as Compression in Apprenticeship Learning., , , , , and . AAAI, page 3134-3142. AAAI Press, (2019)Filtered Direct Preference Optimization., , , , and . CoRR, (2024)Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search., , , , and . AAAI, page 9983-9991. AAAI Press, (2020)Discovering Options for Exploration by Minimizing Cover Time., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3130-3139. PMLR, (2019)Parallel A* for State-Space Search., , , and . Handbook of Parallel Constraint Reasoning, Springer, (2018)Annotation-Efficient Preference Optimization for Language Model Alignment., and . CoRR, (2024)Automated Creation of Efficient Work Distribution Functions for Parallel Best-First Search., and . ICAPS, page 184-192. AAAI Press, (2016)Finding Options that Minimize Planning Time., , , and . CoRR, (2018)Regularized Best-of-N Sampling to Mitigate Reward Hacking for Language Model Alignment., , , and . CoRR, (2024)Neural Architecture Search using Deep Neural Networks and Monte Carlo Tree Search, , , , and . (2018)cite arxiv:1805.07440Comment: To appear in the Thirty-Fourth AAAI conference on Artificial Intelligence (AAAI-2020).