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Exploration by Distributional Reinforcement Learning., and . IJCAI, page 2710-2716. ijcai.org, (2018)Augment-Reinforce-Merge Policy Gradient for Binary Stochastic Policy., , and . CoRR, (2019)Online Hyper-parameter Tuning in Off-policy Learning via Evolutionary Strategies., and . CoRR, (2020)An Analysis of Quantile Temporal-Difference Learning., , , , , , , , and . CoRR, (2023)Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning.. CoRR, (2021)KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal., , , , , , , , , and 3 other author(s). CoRR, (2022)Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning.. ICML, volume 162 of Proceedings of Machine Learning Research, page 21050-21075. PMLR, (2022)VA-learning as a more efficient alternative to Q-learning., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 33739-33757. PMLR, (2023)The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 29210-29231. PMLR, (2023)Understanding Self-Predictive Learning for Reinforcement Learning., , , , , , , , , and 6 other author(s). ICML, volume 202 of Proceedings of Machine Learning Research, page 33632-33656. PMLR, (2023)