Solving Stochastic Planning Problems with Large State and Action Spaces.
Thomas L. DeanRobert GivanKee-Eung KimPublished in: AIPS (1998)
Keyphrases
- planning problems
- state and action spaces
- markov decision problems
- state space
- solving planning problems
- stochastic domains
- action space
- heuristic search
- markov decision processes
- partially observable markov decision processes
- domain independent
- ai planning
- planning domains
- partially observable
- reinforcement learning
- linear programming
- optimal planning
- monte carlo
- optimal policy
- search space
- markov chain
- general purpose
- classical planning
- decision processes
- optimal solution
- partially observable markov decision process
- utility function
- machine learning