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ICML
1994
IEEE
13 years 11 months ago
Markov Games as a Framework for Multi-Agent Reinforcement Learning
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
Michael L. Littman
FLAIRS
2007
13 years 10 months ago
System Diagnosability Analysis Using p-slop MAP
Researchers have reported successful deployments of diagnosis decision support systems based on Bayesian networks. However, the methodology for evaluating the diagnosability for s...
Tsai-Ching Lu, K. Wojtek Przytula
IJCAI
2007
13 years 9 months ago
Memory-Bounded Dynamic Programming for DEC-POMDPs
Decentralized decision making under uncertainty has been shown to be intractable when each agent has different partial information about the domain. Thus, improving the applicabil...
Sven Seuken, Shlomo Zilberstein
IJCAI
2003
13 years 9 months ago
Scenario-based Stochastic Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we extend the stochastic constraint programming framework proposed in [Walsh, 2002] along a number ...
Suresh Manandhar, Armagan Tarim, Toby Walsh
UAI
2004
13 years 9 months ago
Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for representing continuous chance variables in influence diagrams. Also, MTE potentials c...
Barry R. Cobb, Prakash P. Shenoy