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Probing Transfer in Deep Reinforcement Learning without Task Engineering.

, , , , and . CoLLAs, volume 199 of Proceedings of Machine Learning Research, page 1231-1254. PMLR, (2022)

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Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality., , , , , , and . ICLR, OpenReview.net, (2023)Introducing Symmetries to Black Box Meta Reinforcement Learning., , , , , and . AAAI, page 7202-7210. AAAI Press, (2022)Bootstrapped Meta-Learning., , , , , and . ICLR, OpenReview.net, (2022)Transferring Knowledge across Learning Processes., , , and . ICLR, OpenReview.net, (2019)Probing Transfer in Deep Reinforcement Learning without Task Engineering., , , , and . CoLLAs, volume 199 of Proceedings of Machine Learning Research, page 1231-1254. PMLR, (2022)Optimistic Meta-Gradients., , , , , and . NeurIPS, (2023)Bootstrapped Meta-Learning, , , , , and . (2021)cite arxiv:2109.04504Comment: 31 pages, 19 figures, 7 tables.Discovering Diverse Nearly Optimal Policies withSuccessor Features., , , , , and . CoRR, (2021)ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 25303-25336. PMLR, (2023)Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization., , , , , , and . GECCO, page 929-937. ACM, (2023)