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A Regularized Opponent Model with Maximum Entropy Objective

A Regularized Opponent Model with Maximum Entropy Objective

17 May 2019
Zheng Tian
Ying Wen
Zhichen Gong
Faiz Punakkath
Shihao Zou
Jun Wang
ArXivPDFHTML

Papers citing "A Regularized Opponent Model with Maximum Entropy Objective"

6 / 6 papers shown
Title
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
24
1
0
14 Jan 2023
When Physics Meets Machine Learning: A Survey of Physics-Informed
  Machine Learning
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
Chuizheng Meng
Sungyong Seo
Defu Cao
Sam Griesemer
Yan Liu
PINN
AI4CE
34
55
0
31 Mar 2022
Learning to Infer Belief Embedded Communication
Learning to Infer Belief Embedded Communication
Guo Ye
Han Liu
B. Sengupta
13
0
0
15 Mar 2022
Multi-Agent Imitation Learning with Copulas
Multi-Agent Imitation Learning with Copulas
Hongwei Wang
Lantao Yu
Zhangjie Cao
Stefano Ermon
AI4CE
21
12
0
10 Jul 2021
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise
  Rollouts
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts
Weinan Zhang
Xihuai Wang
Jian Shen
Ming Zhou
13
35
0
07 May 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun-Jie Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
134
193
0
19 Oct 2020
1