Knowledge-Based Hierarchical POMDPs for Task Planning.
Sergio A. SerranoElizabeth SantiagoJosé Martínez-CarranzaEduardo F. MoralesLuis Enrique SucarPublished in: J. Intell. Robotic Syst. (2021)
Keyphrases
- partially observable markov decision processes
- partially observable
- belief state
- reinforcement learning
- predictive state representations
- stochastic domains
- belief space
- planning problems
- planning under uncertainty
- state space
- heuristic search
- partially observable markov decision process
- finite state
- planning domains
- expert systems
- hierarchical model
- goal oriented
- ai planning
- motion planning
- planning process
- coarse to fine
- markov decision problems
- partial observability
- optimal policy
- point based value iteration
- blocks world
- hierarchical clustering
- hierarchical structure
- markov decision processes
- distributed constraint optimization