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Challenges of real-world reinforcement learning: definitions, benchmarks and analysis.

, , , , , , and . Mach. Learn., 110 (9): 2419-2468 (2021)

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Model-Based Offline Planning., and . CoRR, (2020)Reinforcement Learning in Large Discrete Action Spaces., , , and . CoRR, (2015)Sequential approaches for learning datum-wise sparse representations., , , and . Mach. Learn., 89 (1-2): 87-122 (2012)A Metric Space Perspective on Self-Supervised Policy Adaptation., , , and . IEEE Robotics Autom. Lett., 6 (3): 4329-4336 (2021)Learning to run a Power Network Challenge: a Retrospective Analysis., , , , , , , , , and . CoRR, (2021)Barkour: Benchmarking Animal-level Agility with Quadruped Robots., , , , , , , , , and 34 other author(s). CoRR, (2023)The Predictron: End-To-End Learning and Planning., , , , , , , , , and 1 other author(s). ICML, volume 70 of Proceedings of Machine Learning Research, page 3191-3199. PMLR, (2017)Lecture Séquentielle de Documents pour la Classification., , and . CORIA, page 245-259. (2012)A Geometric Perspective on Self-Supervised Policy Adaptation., , , and . CoRR, (2020)C3PO: Learning to Achieve Arbitrary Goals via Massively Entropic Pretraining., , , , , and . CoRR, (2022)