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The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning.

, , , and . NeurIPS, (2020)

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Combining Spatial and Temporal Abstraction in Planning for Better Generalization., , , , , and . CoRR, (2023)The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning., , , and . NeurIPS, (2020)Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods., , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 22536-22561. PMLR, (2022)True Online Temporal-Difference Learning., , , , and . CoRR, (2015)Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information., , , , , , , , , and 1 other author(s). CoRR, (2022)Dead-ends and Secure Exploration in Reinforcement Learning., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1873-1881. PMLR, (2019)Modular Lifelong Reinforcement Learning via Neural Composition., , and . ICLR, OpenReview.net, (2022)Switching between Representations in Reinforcement Learning., , and . Interactive Collaborative Information Systems, volume 281 of Studies in Computational Intelligence, Springer, (2010)Forward Actor-Critic for Nonlinear Function Approximation in Reinforcement Learning., , and . AAMAS, page 556-564. ACM, (2017)Improving Scalability of Reinforcement Learning by Separation of Concerns., , , and . CoRR, (2016)