ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.08087
  4. Cited By
A Regularized Opponent Model with Maximum Entropy Objective
v1v2 (latest)

A Regularized Opponent Model with Maximum Entropy Objective

International Joint Conference on Artificial Intelligence (IJCAI), 2019
17 May 2019
Zheng Tian
Ying Wen
Zhichen Gong
Faiz Punakkath
Shihao Zou
Jun Wang
ArXiv (abs)PDFHTML

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

17 / 17 papers shown
Vairiational Stochastic Games
Vairiational Stochastic Games
Zhiyu Zhao
Haifeng Zhang
259
0
0
08 Mar 2025
Negotiated Reasoning: On Provably Addressing Relative
  Over-Generalization
Negotiated Reasoning: On Provably Addressing Relative Over-GeneralizationAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Junjie Sheng
Wenhao Li
Bo Jin
H. Zha
Jun Wang
Xiangfeng Wang
180
1
0
08 Jun 2023
Co-Learning Empirical Games and World Models
Co-Learning Empirical Games and World Models
Max O. Smith
Michael P. Wellman
336
4
0
23 May 2023
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential
  Decision-Making in Multi-Agent Reinforcement Learning
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Bin Zhang
Lijuan Li
Zhiwei Xu
Dapeng Li
Guoliang Fan
259
15
0
20 Apr 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
204
1
0
14 Jan 2023
Decision-making with Speculative Opponent Models
Decision-making with Speculative Opponent ModelsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Jing-rong Sun
Shuo Chen
Cong Zhang
Yining Ma
Jie Zhang
312
2
0
22 Nov 2022
Multi-agent Actor-Critic with Time Dynamical Opponent Model
Multi-agent Actor-Critic with Time Dynamical Opponent ModelNeurocomputing (Neurocomputing), 2022
Yuan Tian
Klaus-Rudolf Kladny
Qin Wang
Zhiwu Huang
Olga Fink
AI4CE
194
15
0
12 Apr 2022
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
PINNAI4CE
377
179
0
31 Mar 2022
Learning to Infer Belief Embedded Communication
Learning to Infer Belief Embedded Communication
Guo Ye
Han Liu
B. Sengupta
314
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
222
17
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 RolloutsInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Weinan Zhang
Xihuai Wang
Jian Shen
Ming Zhou
278
42
0
07 May 2021
Causal World Models by Unsupervised Deconfounding of Physical Dynamics
Causal World Models by Unsupervised Deconfounding of Physical Dynamics
Minne Li
Mengyue Yang
Furui Liu
Xu Chen
Zhitang Chen
Jun Wang
SyDaCML
233
16
0
28 Dec 2020
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 Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
446
221
0
19 Oct 2020
Learning to Play Sequential Games versus Unknown Opponents
Learning to Play Sequential Games versus Unknown OpponentsNeural Information Processing Systems (NeurIPS), 2020
Pier Giuseppe Sessa
Ilija Bogunovic
Maryam Kamgarpour
Andreas Krause
202
29
0
10 Jul 2020
Multi-View Reinforcement Learning
Multi-View Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2019
Minne Li
Lisheng Wu
Haitham Bou-Ammar
Jun Wang
194
30
0
18 Oct 2019
Bi-level Actor-Critic for Multi-agent Coordination
Bi-level Actor-Critic for Multi-agent CoordinationAAAI Conference on Artificial Intelligence (AAAI), 2019
Haifeng Zhang
Weizhe Chen
Zeren Huang
Minne Li
Yaodong Yang
Weinan Zhang
Jun Wang
525
110
0
08 Sep 2019
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized
  Recursive Reasoning
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning
Ying Wen
Yaodong Yang
Rui Luo
Jun Wang
LRM
287
60
0
26 Jan 2019
1
Page 1 of 1