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AIIDE
2009
14 years 11 months ago
Learning Character Behaviors Using Agent Modeling in Games
Our goal is to provide learning mechanisms to game agents so they are capable of adapting to new behaviors based on the actions of other agents. We introduce a new on-line reinfor...
Richard Zhao, Duane Szafron
ATAL
2010
Springer
14 years 11 months ago
Using counterfactual regret minimization to create competitive multiplayer poker agents
Games are used to evaluate and advance Multiagent and Artificial Intelligence techniques. Most of these games are deterministic with perfect information (e.g. Chess and Checkers)....
Nicholas Abou Risk, Duane Szafron
ATAL
2009
Springer
15 years 4 months ago
Multiagent reinforcement learning: algorithm converging to Nash equilibrium in general-sum discounted stochastic games
This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...
Natalia Akchurina
CEC
2007
IEEE
15 years 4 months ago
Static experts and dynamic enemies in coevolutionary games
Abstract— The usage of memory in coevolutionary systems offers a wide range of research possibilities, especially when evolving computationally intelligent computer players for g...
Phillipa M. Avery, Zbigniew Michalewicz
GECCO
2006
Springer
222views Optimization» more  GECCO 2006»
15 years 1 months ago
High-order punishment and the evolution of cooperation
The Prisoner's Dilemma and the Public Goods Game are models to study mechanisms leading to the evolution of cooperation. From a simplified rational and egoistic perspective t...
Bastian Baranski, Thomas Bartz-Beielstein, Rü...