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Guided evolutionary strategies: augmenting random search with surrogate gradients., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4264-4273. PMLR, (2019)Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives., , , and . ICLR (Poster), OpenReview.net, (2019)Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives, , , and . (2018)cite arxiv:1810.04152.Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research., , , , , , , , , and 12 other author(s). CoRR, (2023)Conservative Q-Learning for Offline Reinforcement Learning., , , and . NeurIPS, (2020)Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion., , , , and . NeurIPS, page 8234-8244. (2018)Energy-Inspired Models: Learning with Sampler-Induced Distributions., , , and . NeurIPS, page 8499-8511. (2019)Coupled Gradient Estimators for Discrete Latent Variables., , and . NeurIPS, page 24498-24508. (2021)Oracle Inequalities for Model Selection in Offline Reinforcement Learning., , , , and . NeurIPS, (2022)DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization., , , , , and . ICLR, OpenReview.net, (2022)