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Influencing Long-Term Behavior in Multiagent Reinforcement Learning
v1v2v3v4 (latest)

Influencing Long-Term Behavior in Multiagent Reinforcement Learning

7 March 2022
Dong-Ki Kim
Matthew D Riemer
Miao Liu
Jakob N. Foerster
Michael Everett
Chuangchuang Sun
Gerald Tesauro
Jonathan P. How
ArXiv (abs)PDFHTML

Papers citing "Influencing Long-Term Behavior in Multiagent Reinforcement Learning"

19 / 19 papers shown
Title
Influencing Towards Stable Multi-Agent Interactions
Influencing Towards Stable Multi-Agent Interactions
Woodrow Z. Wang
Andy Shih
Annie Xie
Dorsa Sadigh
100
35
0
05 Oct 2021
Learning Latent Representations to Influence Multi-Agent Interaction
Learning Latent Representations to Influence Multi-Agent Interaction
Annie Xie
Dylan P. Losey
R. Tolsma
Chelsea Finn
Dorsa Sadigh
DRL
174
132
0
12 Nov 2020
A Policy Gradient Algorithm for Learning to Learn in Multiagent
  Reinforcement Learning
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
Dong-Ki Kim
Miao Liu
Matthew D Riemer
Chuangchuang Sun
Marwa Abdulhai
Golnaz Habibi
Sebastian Lopez-Cot
Gerald Tesauro
Jonathan P. How
53
56
0
31 Oct 2020
Learning and Planning in Average-Reward Markov Decision Processes
Learning and Planning in Average-Reward Markov Decision Processes
Yi Wan
A. Naik
R. Sutton
OffRL
56
61
0
29 Jun 2020
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
L. Zintgraf
K. Shiarlis
Maximilian Igl
Sebastian Schulze
Y. Gal
Katja Hofmann
Shimon Whiteson
OffRL
63
278
0
18 Oct 2019
Soft Actor-Critic for Discrete Action Settings
Soft Actor-Critic for Discrete Action Settings
Petros Christodoulou
OffRL
141
299
0
16 Oct 2019
Model-free Reinforcement Learning in Infinite-horizon Average-reward
  Markov Decision Processes
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
Chen-Yu Wei
Mehdi Jafarnia-Jahromi
Haipeng Luo
Hiteshi Sharma
R. Jain
134
106
0
15 Oct 2019
Discounted Reinforcement Learning Is Not an Optimization Problem
Discounted Reinforcement Learning Is Not an Optimization Problem
T. Reiher
R. Shariff
J. Castrillón
Hengshuai Yao
R. Sutton
80
50
0
04 Oct 2019
Meta-Learning with Implicit Gradients
Meta-Learning with Implicit Gradients
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
113
857
0
10 Sep 2019
Is the Policy Gradient a Gradient?
Is the Policy Gradient a Gradient?
Chris Nota
Philip S. Thomas
76
58
0
17 Jun 2019
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
Georgios Papoudakis
Filippos Christianos
Arrasy Rahman
Stefano V. Albrecht
72
191
0
11 Jun 2019
Stable Opponent Shaping in Differentiable Games
Stable Opponent Shaping in Differentiable Games
Alistair Letcher
Jakob N. Foerster
David Balduzzi
Tim Rocktaschel
Shimon Whiteson
88
110
0
20 Nov 2018
Learning to Teach in Cooperative Multiagent Reinforcement Learning
Learning to Teach in Cooperative Multiagent Reinforcement Learning
Shayegan Omidshafiei
Dong-Ki Kim
Miao Liu
Gerald Tesauro
Matthew D Riemer
Chris Amato
Murray Campbell
Jonathan P. How
55
136
0
20 May 2018
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Roberta Raileanu
Emily L. Denton
Arthur Szlam
Rob Fergus
70
202
0
26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
314
8,396
0
04 Jan 2018
A Survey of Learning in Multiagent Environments: Dealing with
  Non-Stationarity
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity
Pablo Hernandez-Leal
Michael Kaisers
T. Baarslag
Enrique Munoz de Cote
70
274
0
28 Jul 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
4,501
0
07 Jun 2017
Variational Inference: A Review for Statisticians
Variational Inference: A Review for Statisticians
David M. Blei
A. Kucukelbir
Jon D. McAuliffe
BDL
287
4,807
0
04 Jan 2016
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
127
12,261
0
19 Dec 2013
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