Simplifying Deep Temporal Difference Learning

Simplifying Deep Temporal Difference Learning

5 July 2024

Papers citing "Simplifying Deep Temporal Difference Learning"

11 / 11 papers shown

Title
Plasticine: Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning Mingqi Yuan Qi Wang Guozheng Ma Bo-wen Li Xin Jin Yunbo Wang Xiaokang Yang Wenjun Zeng D. Tao OffRL AI4CE 33 0 0 24 Apr 2025
Residual Policy Gradient: A Reward View of KL-regularized Objective Pengcheng Wang Xinghao Zhu Yuxin Chen Chenfeng Xu M. Tomizuka Chenran Li 34 0 0 14 Mar 2025
Hyperspherical Normalization for Scalable Deep Reinforcement Learning Hojoon Lee Youngdo Lee Takuma Seno Donghu Kim Peter Stone Jaegul Choo 63 1 0 24 Feb 2025
Improving Value-based Process Verifier via Structural Prior Injection Zetian Sun Dongfang Li Baotian Hu Jun Yu Min-Ling Zhang 35 0 0 21 Feb 2025
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Eliot Xing Vernon Luk Jean Oh 82 0 0 16 Dec 2024
Streaming Deep Reinforcement Learning Finally Works Mohamed Elsayed G. Vasan A. R. Mahmood OffRL 35 4 0 18 Oct 2024
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning Hojoon Lee Dongyoon Hwang Donghu Kim Hyunseung Kim Jun Jet Tai K. Subramanian Peter R. Wurman Jaegul Choo Peter Stone Takuma Seno OffRL 57 6 0 13 Oct 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult? Alexander David Goldie Chris Xiaoxuan Lu Matthew Jackson Shimon Whiteson Jakob N. Foerster 37 3 0 09 Jul 2024
Disentangling the Causes of Plasticity Loss in Neural Networks Clare Lyle Zeyu Zheng Khimya Khetarpal H. V. Hasselt Razvan Pascanu James Martens Will Dabney AI4CE 53 30 0 29 Feb 2024
Atari-5: Distilling the Arcade Learning Environment down to Five Games Matthew Aitchison Penny Sweetser Marcus Hutter 37 19 0 05 Oct 2022
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,878 0 15 Sep 2016