Posterior sampling for Monte Carlo planning under uncertainty.
Aijun BaiFeng WuXiaoping ChenPublished in: Appl. Intell. (2018)
Keyphrases
- monte carlo
- planning under uncertainty
- markov chain monte carlo
- markov decision processes
- decision theoretic
- importance sampling
- ai planning
- dynamical systems
- markov chain
- adaptive sampling
- monte carlo simulation
- multi agent
- monte carlo methods
- posterior distribution
- bayesian framework
- particle filter
- monte carlo tree search
- markovian decision
- finite state
- probability distribution
- game tree
- variance reduction
- temporal difference
- integer programming
- state space
- probabilistic model