Monte Carlo Planning in Hybrid Belief POMDPs.
Moran BarenboimMoshe ShienmanVadim IndelmanPublished in: CoRR (2022)
Keyphrases
- monte carlo
- belief state
- belief space
- point based value iteration
- partially observable markov decision processes
- partially observable
- markov chain
- state space
- importance sampling
- planning problems
- monte carlo simulation
- predictive state representations
- belief revision
- monte carlo methods
- planning under uncertainty
- temporal difference
- adaptive sampling
- monte carlo tree search
- stochastic approximation
- monte carlo method
- markovian decision
- variance reduction
- particle filter
- dynamical systems
- matrix inversion
- heuristic search
- point processes
- reinforcement learning
- dynamic programming
- planning graph
- learning algorithm
- optimal strategy
- approximate inference
- decision process
- global illumination
- model selection