ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1911.04220
  4. Cited By
Non-Cooperative Inverse Reinforcement Learning
v1v2 (latest)

Non-Cooperative Inverse Reinforcement Learning

3 November 2019
Xiangyuan Zhang
Kai Zhang
Erik Miehling
Tamer Basar
ArXiv (abs)PDFHTML

Papers citing "Non-Cooperative Inverse Reinforcement Learning"

12 / 12 papers shown
Title
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum
  Linear Quadratic Games
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games
Kai Zhang
Zhuoran Yang
Tamer Basar
85
127
0
31 May 2019
Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement
  Learning With Networked Agents
Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement Learning With Networked Agents
Kai Zhang
Zhuoran Yang
Han Liu
Tong Zhang
Tamer Basar
OffRL
62
26
0
06 Dec 2018
Actor-Critic Policy Optimization in Partially Observable Multiagent
  Environments
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
S. Srinivasan
Marc Lanctot
V. Zambaldi
Julien Perolat
K. Tuyls
Rémi Munos
Michael Bowling
59
149
0
21 Oct 2018
Multi-agent Inverse Reinforcement Learning for Certain General-sum
  Stochastic Games
Multi-agent Inverse Reinforcement Learning for Certain General-sum Stochastic Games
Xiaomin Lin
Stephen C. Adams
Peter A. Beling
38
8
0
26 Jun 2018
An Efficient, Generalized Bellman Update For Cooperative Inverse
  Reinforcement Learning
An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning
Dhruv Malik
Malayandi Palaniappan
J. F. Fisac
Dylan Hadfield-Menell
Stuart J. Russell
Anca Dragan
63
31
0
11 Jun 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked
  Agents
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
Kai Zhang
Zhuoran Yang
Han Liu
Tong Zhang
Tamer Basar
105
592
0
23 Feb 2018
Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal
  Demonstrations
Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations
Xingyu Wang
Diego Klabjan
56
40
0
07 Jan 2018
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Marc Lanctot
V. Zambaldi
A. Gruslys
Angeliki Lazaridou
K. Tuyls
Julien Perolat
David Silver
T. Graepel
118
638
0
02 Nov 2017
Cooperative Inverse Reinforcement Learning
Cooperative Inverse Reinforcement Learning
Dylan Hadfield-Menell
Anca Dragan
Pieter Abbeel
Stuart J. Russell
88
644
0
09 Jun 2016
Guided Cost Learning: Deep Inverse Optimal Control via Policy
  Optimization
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization
Chelsea Finn
Sergey Levine
Pieter Abbeel
108
952
0
01 Mar 2016
Research Priorities for Robust and Beneficial Artificial Intelligence
Research Priorities for Robust and Beneficial Artificial Intelligence
Stuart J. Russell
Dan Dewey
Max Tegmark
74
657
0
10 Feb 2016
Multi-agent Inverse Reinforcement Learning for Two-person Zero-sum Games
Multi-agent Inverse Reinforcement Learning for Two-person Zero-sum Games
Xiaomin Lin
Peter A. Beling
R. Cogill
91
60
0
25 Mar 2014
1