On stochastic dynamic programming for solving large-scale planning problems under uncertainty.
M. Pilar CristobalLaureano F. EscuderoJuan F. MongePublished in: Comput. Oper. Res. (2009)
Keyphrases
- planning problems
- stochastic dynamic programming
- continuous state
- solving planning problems
- partial observability
- state space
- heuristic search
- domain independent
- approximate dynamic programming
- planning domains
- computational complexity
- robot navigation
- conditional probabilities
- incomplete information
- reinforcement learning
- finite state
- influence diagrams
- classical planning
- binary decision diagrams
- decision problems
- search space