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AIPS
2007
15 years 6 months ago
Mixed Integer Linear Programming for Exact Finite-Horizon Planning in Decentralized Pomdps
We consider the problem of finding an n-agent jointpolicy for the optimal finite-horizon control of a decentralized Pomdp (Dec-Pomdp). This is a problem of very high complexity ...
Raghav Aras, Alain Dutech, François Charpil...
PROMAS
2004
Springer
15 years 9 months ago
Coordinating Teams in Uncertain Environments: A Hybrid BDI-POMDP Approach
Distributed partially observable Markov decision problems (POMDPs) have emerged as a popular decision-theoretic approach for planning for multiagent teams, where it is imperative f...
Ranjit Nair, Milind Tambe
120
Voted
GECCO
2006
Springer
167views Optimization» more  GECCO 2006»
15 years 7 months ago
Genomic computing networks learn complex POMDPs
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
David J. Montana, Eric Van Wyk, Marshall Brinn, Jo...
ECML
2005
Springer
15 years 9 months ago
Model-Based Online Learning of POMDPs
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony
IROS
2006
IEEE
121views Robotics» more  IROS 2006»
15 years 10 months ago
Planning and Acting in Uncertain Environments using Probabilistic Inference
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
Deepak Verma, Rajesh P. N. Rao