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Scaling Opponent Shaping to High Dimensional Games

Scaling Opponent Shaping to High Dimensional Games

19 December 2023
Akbir Khan
Timon Willi
Newton Kwan
Andrea Tacchetti
Chris Xiaoxuan Lu
Edward Grefenstette
Tim Rocktaschel
Jakob N. Foerster
ArXivPDFHTML

Papers citing "Scaling Opponent Shaping to High Dimensional Games"

11 / 11 papers shown
Title
Multi-agent cooperation through learning-aware policy gradients
Multi-agent cooperation through learning-aware policy gradients
Alexander Meulemans
Seijin Kobayashi
J. Oswald
Nino Scherrer
Eric Elmoznino
Blake A. Richards
Guillaume Lajoie
Blaise Agüera y Arcas
João Sacramento
39
0
0
24 Oct 2024
Environment Complexity and Nash Equilibria in a Sequential Social
  Dilemma
Environment Complexity and Nash Equilibria in a Sequential Social Dilemma
Mustafa Yasir
Andrew Howes
V. Mavroudis
Chris Hicks
24
0
0
04 Aug 2024
Mixture of Experts in a Mixture of RL settings
Mixture of Experts in a Mixture of RL settings
Timon Willi
J. Obando-Ceron
Jakob Foerster
Karolina Dziugaite
Pablo Samuel Castro
MoE
39
7
0
26 Jun 2024
Advantage Alignment Algorithms
Advantage Alignment Algorithms
Juan Agustin Duque
Milad Aghajohari
Tim Cooijmans
Tianyu Zhang
Aaron C. Courville
Gauthier Gidel
Aaron Courville
18
0
0
20 Jun 2024
EvIL: Evolution Strategies for Generalisable Imitation Learning
EvIL: Evolution Strategies for Generalisable Imitation Learning
Silvia Sapora
Gokul Swamy
Chris Xiaoxuan Lu
Yee Whye Teh
Jakob Nicolaus Foerster
29
6
0
15 Jun 2024
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents
John L. Zhou
Weizhe Hong
Jonathan C. Kao
28
0
0
03 Jun 2024
Normative Modules: A Generative Agent Architecture for Learning Norms
  that Supports Multi-Agent Cooperation
Normative Modules: A Generative Agent Architecture for Learning Norms that Supports Multi-Agent Cooperation
Atrisha Sarkar
Andrei Ioan Muresanu
Carter Blair
Aaryam Sharma
Rakshit S Trivedi
Gillian K Hadfield
40
1
0
29 May 2024
The Danger Of Arrogance: Welfare Equilibra As A Solution To Stackelberg
  Self-Play In Non-Coincidental Games
The Danger Of Arrogance: Welfare Equilibra As A Solution To Stackelberg Self-Play In Non-Coincidental Games
Jake Levi
Chris Xiaoxuan Lu
Timon Willi
Christian Schroeder de Witt
Jakob N. Foerster
15
0
0
02 Feb 2024
Leading the Pack: N-player Opponent Shaping
Leading the Pack: N-player Opponent Shaping
Alexandra Souly
Timon Willi
Akbir Khan
Robert Kirk
Chris Xiaoxuan Lu
Edward Grefenstette
Tim Rocktaschel
35
3
0
19 Dec 2023
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting
  Pot
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Joel Z. Leibo
Edgar A. Duénez-Guzmán
A. Vezhnevets
J. Agapiou
P. Sunehag
Raphael Köster
Jayd Matyas
Charlie Beattie
Igor Mordatch
T. Graepel
OffRL
50
101
0
14 Jul 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
1