Partially Observable Markov Decision Processes for Artificial Intelligence.
Leslie Pack KaelblingMichael L. LittmanAnthony R. CassandraPublished in: Reasoning with Uncertainty in Robotics (1995)
Keyphrases
- partially observable markov decision processes
- artificial intelligence
- finite state
- dynamical systems
- belief space
- planning under uncertainty
- reinforcement learning
- belief state
- continuous state
- partial observability
- decision problems
- partially observable stochastic games
- partially observable
- dynamic programming
- planning problems
- partially observable domains
- multi agent
- stochastic domains
- state space
- optimal policy
- predictive state representations
- markov decision processes
- partially observable markov
- sequential decision making problems
- machine learning
- dec pomdps
- partially observable markov decision process
- search algorithm
- special case
- point based value iteration
- hidden markov models
- general purpose