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» Learning Character Behaviors Using Agent Modeling in Games
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191
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AAMAS
2006
Springer
15 years 3 months ago
An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
ETRA
2006
ACM
165views Biometrics» more  ETRA 2006»
15 years 9 months ago
Empathic tutoring software agents using real-time eye tracking
This paper describes an empathic software agent (ESA) interface using eye movement information to facilitate empathy-relevant reasoning and behavior. Eye movement tracking is used...
Hua Wang, Mark H. Chignell, Mitsuru Ishizuka
130
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ATAL
2010
Springer
15 years 4 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
ATAL
2003
Springer
15 years 9 months ago
Coordination in multiagent reinforcement learning: a Bayesian approach
Much emphasis in multiagent reinforcement learning (MARL) research is placed on ensuring that MARL algorithms (eventually) converge to desirable equilibria. As in standard reinfor...
Georgios Chalkiadakis, Craig Boutilier
170
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AAAI
2012
13 years 6 months ago
Strategic Advice Provision in Repeated Human-Agent Interactions
This paper addresses the problem of automated advice provision in settings that involve repeated interactions between people and computer agents. This problem arises in many real ...
Amos Azaria, Zinovi Rabinovich, Sarit Kraus, Claud...