Dynamic Programming for Partially Observable Stochastic Games.

Eric A. Hansen Daniel S. Bernstein Shlomo Zilberstein

Published in: AAAI (2004)

Keyphrases

dynamic programming
partially observable stochastic games
stereo matching
state space
optimal policy

markov decision processes
linear programming
reinforcement learning
optimal control

greedy algorithm
coarse to fine
partially observable markov decision processes
decision making

general purpose
machine learning
knowledge base
single machine