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Contingency-Aware Exploration in Reinforcement Learning., , , , , , and . ICLR (Poster), OpenReview.net, (2019)Efficient Deep Reinforcement Learning via Planning, Generalization, and Improved Exploration.. University of Michigan, USA, (2018)Discovering Reinforcement Learning Algorithms., , , , , , and . NeurIPS, (2020)A Self-Tuning Actor-Critic Algorithm., , , , , , , and . NeurIPS, (2020)Balancing Constraints and Rewards with Meta-Gradient D4PG., , , , , , and . ICLR, OpenReview.net, (2021)Control of Memory, Active Perception, and Action in Minecraft., , , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 2790-2799. JMLR.org, (2016)Action-Conditional Video Prediction using Deep Networks in Atari Games., , , , and . NIPS, page 2863-2871. (2015)Meta-Gradient Reinforcement Learning with an Objective Discovered Online., , , , , and . NeurIPS, (2020)Introducing Symmetries to Black Box Meta Reinforcement Learning., , , , , and . AAAI, page 7202-7210. AAAI Press, (2022)In-context Reinforcement Learning with Algorithm Distillation., , , , , , , , , and 4 other author(s). ICLR, OpenReview.net, (2023)