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Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning

31 May 2021
Anuj Mahajan
Mikayel Samvelyan
Lei Mao
Viktor Makoviychuk
Animesh Garg
Jean Kossaifi
Shimon Whiteson
Yuke Zhu
Anima Anandkumar
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Papers citing "Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning"

12 / 12 papers shown
Title
Matrix Low-Rank Trust Region Policy Optimization
Matrix Low-Rank Trust Region Policy Optimization
Sergio Rozada
Antonio G. Marques
45
0
0
27 May 2024
Dual Self-Awareness Value Decomposition Framework without Individual
  Global Max for Cooperative Multi-Agent Reinforcement Learning
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
41
3
0
04 Feb 2023
Opponent-aware Role-based Learning in Team Competitive Markov Games
Opponent-aware Role-based Learning in Team Competitive Markov Games
Paramita Koley
Aurghya Maiti
Niloy Ganguly
Sourangshu Bhattacharya
34
1
0
14 Jan 2023
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement
  Learning
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
Benjamin Ellis
Jonathan Cook
S. Moalla
Mikayel Samvelyan
Mingfei Sun
Anuj Mahajan
Jakob N. Foerster
Shimon Whiteson
33
84
0
14 Dec 2022
Effects of Spectral Normalization in Multi-agent Reinforcement Learning
Effects of Spectral Normalization in Multi-agent Reinforcement Learning
K. Mehta
Anuj Mahajan
Kiran Ravish
29
7
0
10 Dec 2022
A Survey on Model-based Reinforcement Learning
A Survey on Model-based Reinforcement Learning
Fan Luo
Tian Xu
Hang Lai
Xiong-Hui Chen
Weinan Zhang
Yang Yu
OffRL
LRM
53
101
0
19 Jun 2022
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and
  its Application to Reinforcement Learning
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning
Konstantin Sozykin
Andrei Chertkov
R. Schutski
Anh-Huy Phan
A. Cichocki
Ivan Oseledets
22
35
0
30 Apr 2022
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement
  Learning
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
Sergio Rozada
Santiago Paternain
A. Marques
62
13
0
21 Jan 2022
Model based Multi-agent Reinforcement Learning with Tensor
  Decompositions
Model based Multi-agent Reinforcement Learning with Tensor Decompositions
Pascal R. van der Vaart
Anuj Mahajan
Shimon Whiteson
AI4CE
31
8
0
27 Oct 2021
Towards Understanding Cooperative Multi-Agent Q-Learning with Value
  Factorization
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization
Jianhao Wang
Zhizhou Ren
Beining Han
Jianing Ye
Chongjie Zhang
OffRL
31
32
0
31 May 2020
MAVEN: Multi-Agent Variational Exploration
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan
Tabish Rashid
Mikayel Samvelyan
Shimon Whiteson
DRL
148
355
0
16 Oct 2019
Tensor Decomposition for Signal Processing and Machine Learning
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
117
1,346
0
06 Jul 2016
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