Distribution over Beliefs for Memory Bounded Dec-POMDP Planning.
Gabriel CoronaFrançois CharpilletPublished in: UAI (2010)
Keyphrases
- planning problems
- belief space
- partially observable
- partially observable markov decision processes
- belief state
- stochastic domains
- partially observable markov decision process
- state space
- memory requirements
- belief revision
- finite state
- reinforcement learning
- sensing actions
- motion planning
- markov decision processes
- dynamical systems
- continuous state
- markov chain
- predictive state representations
- main memory
- transition probabilities
- ai planning
- heuristic search
- plan generation
- random variables
- multi agent
- learning algorithm
- point based value iteration
- partially observable stochastic domains