Probabilistic Majorization of Partially Observable Markov Decision Processes.
Tom LefebvrePublished in: IWAI (2023)
Keyphrases
- partially observable markov decision processes
- finite state
- planning under uncertainty
- decision problems
- dynamical systems
- belief state
- belief space
- partially observable stochastic games
- reinforcement learning
- continuous state
- partial observability
- markov decision processes
- planning problems
- stochastic domains
- partially observable domains
- dynamic programming
- partially observable markov
- optimal policy
- probabilistic planning
- state space
- partially observable
- multi agent
- bayesian networks
- probabilistic model
- predictive state representations
- multi agent systems
- infinite horizon
- partially observable markov decision process
- linear programming
- knowledge base