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» Planning Partially for Situated Agents
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ECML
2005
Springer
14 years 2 months ago
Active Learning in Partially Observable Markov Decision Processes
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
Robin Jaulmes, Joelle Pineau, Doina Precup
IAT
2010
IEEE
13 years 7 months ago
Intention Recognition with Event Calculus Graphs
Intention recognition has significant applications in ambient intelligence, for example in assisted living and care of the elderly, in games and in intrusion and other crime detec...
Fariba Sadri
FLAIRS
2009
13 years 7 months ago
Dynamic Programming Approximations for Partially Observable Stochastic Games
Partially observable stochastic games (POSGs) provide a rich mathematical framework for planning under uncertainty by a group of agents. However, this modeling advantage comes wit...
Akshat Kumar, Shlomo Zilberstein
ML
1998
ACM
220views Machine Learning» more  ML 1998»
13 years 8 months ago
Learning to Improve Coordinated Actions in Cooperative Distributed Problem-Solving Environments
Abstract. Coordination is an essential technique in cooperative, distributed multiagent systems. However, sophisticated coordination strategies are not always cost-effective in all...
Toshiharu Sugawara, Victor R. Lesser
IAT
2005
IEEE
14 years 2 months ago
Analyzing Myopic Approaches for Multi-Agent Communication
Choosing when to communicate is a fundamental problem in multi-agent systems. This problem becomes particularly hard when communication is constrained and each agent has different...
Raphen Becker, Victor R. Lesser, Shlomo Zilberstei...