Dynamic Programming for Partially Observable Stochastic Games.
Eric A. HansenDaniel S. BernsteinShlomo ZilbersteinPublished 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