A Stochastic Model of Actions and Plans for Anytime Planning under Uncertainty.
Sylvie ThiébauxJoachim HertzbergWilliam D. ShoaffMoti SchneiderPublished in: PuK (1993)
Keyphrases
- planning under uncertainty
- stochastic model
- decision theoretic
- decision theoretic planning
- stochastic models
- markov decision processes
- ai planning
- plan recognition
- probabilistic planning
- robotic tasks
- belief space
- multi agent
- partially observable markov decision processes
- dynamical systems
- classical planning
- reward function
- partially observable
- finite state
- sufficient conditions
- domain specific
- state space
- search space
- reinforcement learning