Revisiting Peng's Q($λ$) for Modern Reinforcement Learning

Revisiting Peng's Q( $λ$ ) for Modern Reinforcement Learning

27 February 2021

Steven Kapturowski

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Papers citing "Revisiting Peng's Q($λ$) for Modern Reinforcement Learning"

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Title
Two-Step Q-Learning Antony Vijesh Shreyas Sumithra Rudresha OffRL 93 1 0 02 Jul 2024
Demystifying the Recency Heuristic in Temporal-Difference Learning Brett Daley Marlos C. Machado Martha White 63 1 0 18 Jun 2024
Off-policy Distributional Q( $λ$ ): Distributional RL without Importance Sampling Yunhao Tang Mark Rowland Rémi Munos Bernardo Avila-Pires Will Dabney OffRL 54 1 0 08 Feb 2024
Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning Brett Daley Martha White Chris Amato Marlos C. Machado OffRL 138 3 0 26 Jan 2023
Opportunities and Challenges from Using Animal Videos in Reinforcement Learning for Navigation Vittorio Giammarino James Queeney Lucas C. Carstensen Michael Hasselmo I. Paschalidis OffRL 78 5 0 25 Sep 2022
The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning Yunhao Tang Mark Rowland Rémi Munos Bernardo Avila-Pires Will Dabney Marc G. Bellemare OffRL 67 12 0 15 Jul 2022
Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning Implementation for High-Freq Stock Trading Zitao Song Xuyang Jin Chenliang Li OffRL AIFin 46 1 0 13 Jun 2022
The Phenomenon of Policy Churn Tom Schaul André Barreto John Quan Georg Ostrovski 89 28 0 01 Jun 2022
On Credit Assignment in Hierarchical Reinforcement Learning Joery A. de Vries Thomas M. Moerland Aske Plaat 23 0 0 07 Mar 2022
Improving the Efficiency of Off-Policy Reinforcement Learning by Accounting for Past Decisions Brett Daley Chris Amato OffRL 99 1 0 23 Dec 2021
Virtual Replay Cache Brett Daley Chris Amato 24 0 0 06 Dec 2021
Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning Jian Hu Siyang Jiang Seth Austin Harding Haibin Wu Shihua Liao 201 90 0 06 Feb 2021