Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2102.08159
Cited By
v1
v2
v3 (latest)
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
Neural Information Processing Systems (NeurIPS), 2021
16 February 2021
Wei Qiu
Xinrun Wang
Runsheng Yu
Xu He
Rongpin Wang
Bo An
S. Obraztsova
Zinovi Rabinovich
Re-assign community
ArXiv (abs)
PDF
HTML
Github
Papers citing
"RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents"
25 / 25 papers shown
Independent policy gradient-based reinforcement learning for economic and reliable energy management of multi-microgrid systems
Junkai Hu
Li Xia
421
0
0
26 Nov 2025
Tractable Equilibrium Computation in Markov Games through Risk Aversion
Eric Mazumdar
Kishan Panaganti
Laixi Shi
480
6
0
20 Jun 2024
Risk Sensitivity in Markov Games and Multi-Agent Reinforcement Learning: A Systematic Review
Hafez Ghaemi
Shirin Jamshidi
Mohammad Mashreghi
M. N. Ahmadabadi
Hamed Kebriaei
314
2
0
10 Jun 2024
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis
Rui Liu
Erfaun Noorani
Erfaun Noorani
John S. Baras
550
6
0
13 Mar 2024
Provably Efficient Partially Observable Risk-Sensitive Reinforcement Learning with Hindsight Observation
Tonghe Zhang
Yu Chen
Longbo Huang
286
0
0
28 Feb 2024
Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games
Hafez Ghaemi
Hamed Kebriaei
Alireza Ramezani Moghaddam
Majid Nili Ahamadabadi
297
3
0
08 Feb 2024
DCIR: Dynamic Consistency Intrinsic Reward for Multi-Agent Reinforcement Learning
Kun-Li Channing Lin
Yufeng Wang
Peihao Chen
Runhao Zeng
Siyuan Zhou
Zhuliang Yu
Chuang Gan
AI4CE
272
1
0
10 Dec 2023
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
Neural Information Processing Systems (NeurIPS), 2023
Siqi Shen
Chennan Ma
Chao Li
Weiquan Liu
Yongquan Fu
Songzhu Mei
Xinwang Liu
Cheng-Yu Wang
324
26
0
03 Nov 2023
Efficient Human-AI Coordination via Preparatory Language-based Convention
Cong Guan
Lichao Zhang
Chunpeng Fan
Yi-Chen Li
Feng Chen
Lihe Li
Yunjia Tian
Lei Yuan
Yang Yu
LM&Ro
296
10
0
01 Nov 2023
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning
Journal of machine learning research (JMLR), 2023
Wei-Fang Sun
Cheng-Kuang Lee
Simon See
Chun-Yi Lee
OffRL
302
3
0
04 Jun 2023
Centralised rehearsal of decentralised cooperation: Multi-agent reinforcement learning for the scalable coordination of residential energy flexibility
Applied Energy (Appl. Energy), 2023
Flora Charbonnier
Bei Peng
Thomas Morstyn
Malcolm McCulloch
302
14
0
30 May 2023
Learning Diverse Risk Preferences in Population-based Self-play
AAAI Conference on Artificial Intelligence (AAAI), 2023
Y. Jiang
Qihan Liu
Xiaoteng Ma
Chenghao Li
Yiqin Yang
Jun Yang
Bin Liang
Qianchuan Zhao
470
8
0
19 May 2023
Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum Games
International Conference on Neural Information Processing (ICONIP), 2023
Ziyi Liu
Yongchun Fang
243
2
0
14 Mar 2023
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Ji-Yun Oh
Joonkee Kim
Minchan Jeong
Se-Young Yun
227
3
0
03 Mar 2023
Universal Agent Mixtures and the Geometry of Intelligence
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
S. Alexander
David Quarel
Len Du
Marcus Hutter
249
1
0
13 Feb 2023
Risk-Sensitive Policy with Distributional Reinforcement Learning
Thibaut Théate
D. Ernst
OffRL
317
13
0
30 Dec 2022
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Jifeng Hu
Yanchao Sun
Hechang Chen
Sili Huang
Haiyin Piao
Yi-Ju Chang
Lichao Sun
284
9
0
14 Oct 2022
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
Mingyu Kim
Ji-Yun Oh
Yongsik Lee
Joonkee Kim
S. Kim
Song Chong
Se-Young Yun
335
2
0
05 Jul 2022
Risk Perspective Exploration in Distributional Reinforcement Learning
Ji-Yun Oh
Joonkee Kim
Se-Young Yun
221
6
0
28 Jun 2022
Learning Generalizable Risk-Sensitive Policies to Coordinate in Decentralized Multi-Agent General-Sum Games
Ziyi Liu
Xian Guo
Yongchun Fang
340
0
0
31 May 2022
A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems
International Conference on Machine Learning (ICML), 2022
Oliver Slumbers
D. Mguni
Alexander Shmakov
Stefano B. Blumberg
Jun Wang
Yaodong Yang
417
25
0
30 May 2022
Off-Beat Multi-Agent Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Wei Qiu
Weixun Wang
Rongpin Wang
Bo An
Yujing Hu
S. Obraztsova
Zinovi Rabinovich
Jianye Hao
Yingfeng Chen
Changjie Fan
OffRL
242
2
0
27 May 2022
Efficient Risk-Averse Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Ido Greenberg
Yinlam Chow
Mohammad Ghavamzadeh
Shie Mannor
415
55
0
10 May 2022
MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement Learning
IEEE Transactions on Games (IEEE Trans. Games), 2022
Jian Zhao
Mingyu Yang
Youpeng Zhao
Xu Hu
Wen-gang Zhou
Jiangcheng Zhu
Houqiang Li
234
12
0
21 Feb 2022
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis
International Conference on Machine Learning (ICML), 2021
Ziyi Chen
Yi Zhou
Rongrong Chen
Shaofeng Zou
369
35
0
08 Sep 2021
1
Page 1 of 1
