Distribution over Beliefs for Memory Bounded Dec-POMDP Planning
Gabriel CoronaFrançois CharpilletPublished in: CoRR (2012)
Keyphrases
- planning problems
- belief space
- partially observable markov decision processes
- partially observable markov decision process
- reinforcement learning
- partially observable
- finite state
- state space
- dynamical systems
- partially observable stochastic domains
- ai planning
- decision making
- planning under uncertainty
- memory requirements
- belief state
- sequential decision making problems
- knowledge base
- probability distribution
- stochastic domains
- partial observability
- learning algorithm
- memory usage
- dec pomdps
- motion planning
- predictive state representations
- belief revision
- markov decision processes
- np hard
- optimal plans
- machine learning
- blocks world
- multi agent
- heuristic search
- planning domains
- mental states
- optimal policy
- main memory
- random variables