Planning with Hidden Parameter Polynomial MDPs.
Clarissa CostenMarc RigterBruno LacerdaNick HawesPublished in: AAAI (2023)
Keyphrases
- stochastic domains
- markov decision processes
- planning problems
- probabilistic planning
- planning under uncertainty
- state space
- markov decision problems
- partially observable
- decision theoretic planning
- heuristic search
- factored mdps
- ai planning
- factored markov decision processes
- initial state
- parameter values
- decision support
- motion planning
- parameter settings
- domain independent
- dynamic programming
- sequential decision making problems
- reinforcement learning
- finite state
- partially observable markov decision processes
- plan execution
- finite horizon
- optimal planning
- parameter space
- optimal policy
- linear programming