Matrix Low-Rank Trust Region Policy Optimization

27 May 2024

Papers citing "Matrix Low-Rank Trust Region Policy Optimization"

8 / 8 papers shown

Title
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning Anuj Mahajan Mikayel Samvelyan Lei Mao Viktor Makoviychuk Animesh Garg Jean Kossaifi Shimon Whiteson Yuke Zhu Anima Anandkumar 67 32 0 31 May 2021
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation Devavrat Shah Dogyoon Song Zhi Xu Yuzhe Yang 113 31 0 11 Jun 2020
Factorized Q-Learning for Large-Scale Multi-Agent Systems M. Zhou Yong Chen Ying Wen Yaodong Yang Yufeng Su Weinan Zhang Dell Zhang Jun Wang AI4CE 48 68 0 11 Sep 2018
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 117 2,805 0 19 Aug 2017
Expected Policy Gradients K. Ciosek Shimon Whiteson 50 57 0 15 Jun 2017
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 204 5,073 0 05 Jun 2016
Value function approximation via low-rank models H. Ong OffRL 76 20 0 31 Aug 2015
In-network Sparsity-regularized Rank Minimization: Algorithms and Applications Morteza Mardani Gonzalo Mateos G. Giannakis 70 76 0 07 Mar 2012