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» Convergence Of The Iterated Prisoner's Dilemma Game
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ATAL
2006
Springer
13 years 11 months ago
Learning to cooperate in multi-agent social dilemmas
In many Multi-Agent Systems (MAS), agents (even if selfinterested) need to cooperate in order to maximize their own utilities. Most of the multi-agent learning algorithms focus on...
Jose Enrique Munoz de Cote, Alessandro Lazaric, Ma...
ICML
2003
IEEE
14 years 8 months ago
Learning To Cooperate in a Social Dilemma: A Satisficing Approach to Bargaining
Learning in many multi-agent settings is inherently repeated play. This calls into question the naive application of single play Nash equilibria in multi-agent learning and sugges...
Jeff L. Stimpson, Michael A. Goodrich
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
13 years 11 months ago
The Baldwin effect under spatial isolation and autonomous reproduction
The impact of learning on evolution in dynamic environments undergoes recognized stages of the Baldwin Effect although its cause is not clear. To identify it experimentally, we de...
H. L. Peng, J. C. Tay
ATAL
2008
Springer
13 years 9 months ago
Synthesis of strategies from interaction traces
We describe how to take a set of interaction traces produced by different pairs of players in a two-player repeated game, and combine them into a composite strategy. We provide an...
Tsz-Chiu Au, Sarit Kraus, Dana S. Nau
ECAI
2006
Springer
13 years 11 months ago
Strategic Foresighted Learning in Competitive Multi-Agent Games
We describe a generalized Q-learning type algorithm for reinforcement learning in competitive multi-agent games. We make the observation that in a competitive setting with adaptive...
Pieter Jan't Hoen, Sander M. Bohte, Han La Poutr&e...