Dynamic Programming for POMDPs Using a Factored State Representation.
Eric A. HansenZhengzhu FengPublished in: AIPS (2000)
Keyphrases
- dynamic programming
- state space
- markov decision processes
- belief state
- reinforcement learning
- partially observable markov decision processes
- partially observable
- greedy algorithm
- learning algorithm
- state variables
- explicitly represent
- genetic algorithm
- decision theoretic planning
- partial observability
- markov decision process
- planning problems
- single machine
- multiresolution
- multi agent
- decision trees