Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning

31 May 2021

Mikayel Samvelyan

Viktor Makoviychuk

Shimon Whiteson

Anima Anandkumar

Papers citing "Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning"

10 / 10 papers shown

Title
Matrix Low-Rank Trust Region Policy Optimization Sergio Rozada Antonio G. Marques 41 0 0 27 May 2024
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Bin Zhang Dapeng Li Guangchong Zhou Zeren Zhang Guoliang Fan 28 3 0 04 Feb 2023
Opponent-aware Role-based Learning in Team Competitive Markov Games Paramita Koley Aurghya Maiti Niloy Ganguly Sourangshu Bhattacharya 24 1 0 14 Jan 2023
Effects of Spectral Normalization in Multi-agent Reinforcement Learning K. Mehta Anuj Mahajan Priyesh Kumar 16 7 0 10 Dec 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 39 101 0 19 Jun 2022
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning Sergio Rozada Santiago Paternain A. Marques 50 13 0 21 Jan 2022
Model based Multi-agent Reinforcement Learning with Tensor Decompositions Pascal R. van der Vaart Anuj Mahajan Shimon Whiteson AI4CE 16 8 0 27 Oct 2021
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization Jianhao Wang Zhizhou Ren Beining Han Jianing Ye Chongjie Zhang OffRL 16 32 0 31 May 2020
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 133 355 0 16 Oct 2019
Tensor Decomposition for Signal Processing and Machine Learning N. Sidiropoulos L. De Lathauwer Xiao Fu Kejun Huang Evangelos E. Papalexakis Christos Faloutsos 105 1,342 0 06 Jul 2016