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Multi-Agent Adversarial Inverse Reinforcement Learning

Multi-Agent Adversarial Inverse Reinforcement Learning

30 July 2019
Lantao Yu
Jiaming Song
Stefano Ermon
ArXivPDFHTML

Papers citing "Multi-Agent Adversarial Inverse Reinforcement Learning"

22 / 22 papers shown
Title
A Machine Learning Approach to Detect Strategic Behavior from Large-Population Observational Data Applied to Game Mode Prediction on a Team-Based Video Game
Boshen Wang
Luis E. Ortiz
88
0
0
20 Jan 2025
Multi-Agent Generative Adversarial Imitation Learning
Multi-Agent Generative Adversarial Imitation Learning
Jiaming Song
Hongyu Ren
Dorsa Sadigh
Stefano Ermon
GAN
50
221
0
26 Jul 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
25
8
0
26 Jun 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial
  and Review
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
Sergey Levine
AI4CE
BDL
76
672
0
02 May 2018
Inverse Reward Design
Inverse Reward Design
Dylan Hadfield-Menell
S. Milli
Pieter Abbeel
Stuart J. Russell
Anca Dragan
79
397
0
08 Nov 2017
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Justin Fu
Katie Z Luo
Sergey Levine
124
753
0
30 Oct 2017
Scalable trust-region method for deep reinforcement learning using
  Kronecker-factored approximation
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
Yuhuai Wu
Elman Mansimov
Shun Liao
Roger C. Grosse
Jimmy Ba
OffRL
52
626
0
17 Aug 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
140
4,482
0
07 Jun 2017
Coordinated Multi-Agent Imitation Learning
Coordinated Multi-Agent Imitation Learning
Hoang Minh Le
Yisong Yue
Peter Carr
P. Lucey
59
191
0
09 Mar 2017
Multi-agent Reinforcement Learning in Sequential Social Dilemmas
Multi-agent Reinforcement Learning in Sequential Social Dilemmas
Joel Z Leibo
V. Zambaldi
Marc Lanctot
J. Marecki
T. Graepel
71
608
0
10 Feb 2017
A Connection between Generative Adversarial Networks, Inverse
  Reinforcement Learning, and Energy-Based Models
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models
Chelsea Finn
Paul Christiano
Pieter Abbeel
Sergey Levine
OffRL
AI4CE
GAN
62
354
0
11 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
454
5,372
0
05 Nov 2016
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous
  Off-Policy Updates
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates
S. Gu
E. Holly
Timothy Lillicrap
Sergey Levine
OffRL
SSL
114
1,480
0
03 Oct 2016
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu
Weinan Zhang
Jun Wang
Yong Yu
GAN
69
2,399
0
18 Sep 2016
Concrete Problems in AI Safety
Concrete Problems in AI Safety
Dario Amodei
C. Olah
Jacob Steinhardt
Paul Christiano
John Schulman
Dandelion Mané
217
2,384
0
21 Jun 2016
Generative Adversarial Imitation Learning
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
140
3,106
0
10 Jun 2016
Model-Free Imitation Learning with Policy Optimization
Model-Free Imitation Learning with Policy Optimization
Jonathan Ho
Jayesh K. Gupta
Stefano Ermon
47
149
0
26 May 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
948
0
01 Mar 2016
Inverse Reinforcement Learning in Swarm Systems
Inverse Reinforcement Learning in Swarm Systems
Adrian Šošić
Wasiur R. KhudaBukhsh
A. Zoubir
Heinz Koeppl
AI4CE
40
76
0
17 Feb 2016
End-to-End Training of Deep Visuomotor Policies
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
308
3,434
0
02 Apr 2015
Theory and Applications of Proper Scoring Rules
Theory and Applications of Proper Scoring Rules
A. Dawid
M. Musio
151
124
0
02 Jan 2014
Computational Rationalization: The Inverse Equilibrium Problem
Computational Rationalization: The Inverse Equilibrium Problem
Kevin Waugh
Brian Ziebart
J. Andrew Bagnell
68
82
0
15 Aug 2013
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