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» Multiagent simulation of learning environments
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UAI
2000
13 years 11 months ago
Learning to Cooperate via Policy Search
Cooperative games are those in which both agents share the same payoff structure. Valuebased reinforcement-learning algorithms, such as variants of Q-learning, have been applied t...
Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Les...
ICML
1990
IEEE
14 years 2 months ago
Explanations of Empirically Derived Reactive Plans
Given an adequate simulation model of the task environment and payoff function that measures the quality of partially successful plans, competition-based heuristics such as geneti...
Diana F. Gordon, John J. Grefenstette
ICML
2008
IEEE
14 years 11 months ago
Reinforcement learning in the presence of rare events
We consider the task of reinforcement learning in an environment in which rare significant events occur independently of the actions selected by the controlling agent. If these ev...
Jordan Frank, Shie Mannor, Doina Precup
AIHC
2007
Springer
14 years 4 months ago
Emotion and Reinforcement: Affective Facial Expressions Facilitate Robot Learning
Computer models can be used to investigate the role of emotion in learning. Here we present EARL, our framework for the systematic study of the relation between emotion, adaptation...
Joost Broekens
ICRA
2008
IEEE
146views Robotics» more  ICRA 2008»
14 years 4 months ago
Exploration of an incremental suite of microscopic models for acoustic event monitoring using a robotic sensor network
— Simulation is frequently used in the study of multi-agent systems. Unfortunately, in many cases, it is not necessarily clear how faithfully the details of the simulated model r...
Christopher M. Cianci, Jim Pugh, Alcherio Martinol...