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Understanding the World to Solve Social Dilemmas Using Multi-Agent
  Reinforcement Learning

Understanding the World to Solve Social Dilemmas Using Multi-Agent Reinforcement Learning

19 May 2023
Manuel Rios
Nicanor Quijano
Luis Felipe Giraldo
ArXivPDFHTML

Papers citing "Understanding the World to Solve Social Dilemmas Using Multi-Agent Reinforcement Learning"

4 / 4 papers shown
Title
Can LLM-Augmented autonomous agents cooperate?, An evaluation of their
  cooperative capabilities through Melting Pot
Can LLM-Augmented autonomous agents cooperate?, An evaluation of their cooperative capabilities through Melting Pot
Manuel Mosquera
Juan Sebastian Pinzon
Manuel Rios
Yesid Fonseca
Luis Felipe Giraldo
Nicanor Quijano
Ruben Manrique
14
2
0
18 Mar 2024
On the Principles of Parsimony and Self-Consistency for the Emergence of
  Intelligence
On the Principles of Parsimony and Self-Consistency for the Emergence of Intelligence
Y. Ma
Doris Y. Tsao
H. Shum
50
67
0
11 Jul 2022
Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning
Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning
Michael Bradley Johanson
Edward Hughes
Finbarr Timbers
Joel Z. Leibo
11
22
0
13 May 2022
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
100
0
14 Jul 2021
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