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An operator view of policy gradient methods.

, , и . NeurIPS, (2020)

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Carl Machado

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Ricardo Machado

Charles Machado

Marlos Barros Pessoa

 

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State of the Art Control of Atari Games Using Shallow Reinforcement Learning., , , и . CoRR, (2015)Deep Laplacian-based Options for Temporally-Extended Exploration., и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 17198-17217. PMLR, (2023)Agent-State Construction with Auxiliary Inputs., , и . Trans. Mach. Learn. Res., (2023)Recurrent Linear Transformers., , , и . CoRR, (2023)Introspective Agents: Confidence Measures for General Value Functions., , , и . AGI, том 9782 из Lecture Notes in Computer Science, стр. 258-261. Springer, (2016)Eigenoption Discovery through the Deep Successor Representation., , , , , и . ICLR (Poster), OpenReview.net, (2018)Exploration in Reinforcement Learning with Deep Covering Options., , , и . ICLR, OpenReview.net, (2020)Demystifying the Recency Heuristic in Temporal-Difference Learning., , и . CoRR, (2024)Temporal Abstraction in Reinforcement Learning with the Successor Representation., , , и . J. Mach. Learn. Res., (2023)A general class of surrogate functions for stable and efficient reinforcement learning., , , , , , , , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 8619-8649. PMLR, (2022)