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Convex Relaxation Regression: Black-Box Optimization of Smooth Functions by Learning Their Convex Envelopes., , and . UAI, AUAI Press, (2016)Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice., , , , , , , , , and 5 other author(s). ICML, volume 202 of Proceedings of Machine Learning Research, page 17135-17175. PMLR, (2023)The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning, , , , , and . ICLR, (2017)cite arxiv:1704.04651.Rainbow: Combining Improvements in Deep Reinforcement Learning., , , , , , , , , and . AAAI, page 3215-3222. AAAI Press, (2018)Averaging log-likelihoods in direct alignment., , , , , , , , , and 1 other author(s). CoRR, (2024)Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion., , , , , , , , , and . CoRR, (2024)Nash Learning from Human Feedback., , , , , , , , , and 8 other author(s). ICML, OpenReview.net, (2024)Meta-learning of Sequential Strategies., , , , , , , , , and 14 other author(s). CoRR, (2019)Neural Predictive Belief Representations., , , , , and . CoRR, (2018)Fast computation of Nash Equilibria in Imperfect Information Games., , , , , , , , , and 3 other author(s). ICML, volume 119 of Proceedings of Machine Learning Research, page 7119-7129. PMLR, (2020)