Point-Based POMDP Solving with Factored Value Function Approximation.
Tiago VeigaMatthijs T. J. SpaanPedro U. LimaPublished in: AAAI (2014)
Keyphrases
- state space
- markov decision problems
- point based value iteration
- reinforcement learning
- optimal policy
- markov decision processes
- factored markov decision processes
- sequential decision making problems
- combinatorial optimization
- partially observable markov decision process
- dynamical systems
- finite state
- algebraic decision diagrams
- belief space
- partially observable
- basis functions
- belief state
- temporal difference
- continuous state
- planning problems
- dynamic programming
- search space
- multi agent systems