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» Multi-Agent Inverse Reinforcement Learning
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102
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AAAI
2008
15 years 2 months ago
Maximum Entropy Inverse Reinforcement Learning
Recent research has shown the benefit of framing problems of imitation learning as solutions to Markov Decision Problems. This approach reduces learning to the problem of recoveri...
Brian Ziebart, Andrew L. Maas, J. Andrew Bagnell, ...
70
Voted
ECAI
2010
Springer
15 years 1 months ago
Analysis of Inverse Reinforcement Learning with Perturbed Demonstrations
Francisco S. Melo, Manuel Lopes, Ricardo Ferreira
95
Voted
CORR
2000
Springer
92views Education» more  CORR 2000»
15 years 13 days ago
Predicting the expected behavior of agents that learn about agents: the CLRI framework
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
José M. Vidal, Edmund H. Durfee
AAMAS
2002
Springer
15 years 15 days ago
Cooperative Learning Using Advice Exchange
Abstract. One of the main questions concerning learning in a Multi-Agent System's environment is: "(How) can agents benefit from mutual interaction during the learning pr...
Luís Nunes, Eugenio Oliveira
120
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ATAL
2006
Springer
15 years 4 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...