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Opponent Learning Awareness and Modelling in Multi-Objective Normal Form
  Games

Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games

14 November 2020
Roxana Rădulescu
T. Verstraeten
Yijie Zhang
Patrick Mannion
D. Roijers
A. Nowé
ArXivPDFHTML

Papers citing "Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games"

15 / 15 papers shown
Title
A Practical Guide to Multi-Objective Reinforcement Learning and Planning
A Practical Guide to Multi-Objective Reinforcement Learning and Planning
Conor F. Hayes
Roxana Ruadulescu
Eugenio Bargiacchi
Johan Källström
Matthew Macfarlane
...
Ann Nowé
Gabriel de Oliveira Ramos
Marcello Restelli
Peter Vamplew
D. Roijers
OffRL
48
332
0
17 Mar 2021
A utility-based analysis of equilibria in multi-objective normal form
  games
A utility-based analysis of equilibria in multi-objective normal form games
Roxana Rădulescu
Patrick Mannion
Yijie Zhang
D. Roijers
A. Nowé
26
27
0
17 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
211
42,038
0
03 Dec 2019
Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis
  and Survey
Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey
Roxana Rădulescu
Patrick Mannion
D. Roijers
A. Nowé
43
140
0
06 Sep 2019
Exact Gaussian Processes on a Million Data Points
Exact Gaussian Processes on a Million Data Points
Ke Alexander Wang
Geoff Pleiss
Jacob R. Gardner
Stephen Tyree
Kilian Q. Weinberger
A. Wilson
GP
41
227
0
19 Mar 2019
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
56
200
0
26 Feb 2018
Ordered Preference Elicitation Strategies for Supporting Multi-Objective
  Decision Making
Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making
L. Zintgraf
D. Roijers
Sjoerd Linders
Catholijn M. Jonker
A. Nowé
24
49
0
21 Feb 2018
DiCE: The Infinitely Differentiable Monte-Carlo Estimator
DiCE: The Infinitely Differentiable Monte-Carlo Estimator
Jakob N. Foerster
Gregory Farquhar
Maruan Al-Shedivat
Tim Rocktaschel
Eric Xing
Shimon Whiteson
32
97
0
14 Feb 2018
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and
  Open Problems
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems
Stefano V. Albrecht
Peter Stone
82
467
0
23 Sep 2017
Learning with Opponent-Learning Awareness
Learning with Opponent-Learning Awareness
Jakob N. Foerster
Richard Y. Chen
Maruan Al-Shedivat
Shimon Whiteson
Pieter Abbeel
Igor Mordatch
68
536
0
13 Sep 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
113
4,441
0
07 Jun 2017
Opponent Modeling in Deep Reinforcement Learning
Opponent Modeling in Deep Reinforcement Learning
He He
Jordan L. Boyd-Graber
Kevin Kwok
Hal Daumé III
BDL
53
324
0
18 Sep 2016
Kernel Interpolation for Scalable Structured Gaussian Processes
  (KISS-GP)
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
A. Wilson
H. Nickisch
GP
56
512
0
03 Mar 2015
A Survey of Multi-Objective Sequential Decision-Making
A Survey of Multi-Objective Sequential Decision-Making
D. Roijers
Peter Vamplew
Shimon Whiteson
Richard Dazeley
57
644
0
04 Feb 2014
Utilities as Random Variables: Density Estimation and Structure
  Discovery
Utilities as Random Variables: Density Estimation and Structure Discovery
Urszula Chajewska
D. Koller
38
82
0
16 Jan 2013
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