Adaptive Belief Discretization for POMDP Planning.
Divya GroverChristos DimitrakakisPublished in: CoRR (2021)
Keyphrases
- belief space
- belief state
- point based value iteration
- partially observable markov decision processes
- planning problems
- motion planning
- partially observable markov decision process
- reinforcement learning
- partially observable
- partial observability
- state space
- belief revision
- decision theoretic
- dynamic environments
- preprocessing
- planning under uncertainty
- partially observable stochastic domains
- optimal policy
- decision trees
- finite state
- belief functions
- markov decision processes
- dynamical systems
- planning process
- mobile robot
- search algorithm
- multi agent
- machine learning