Ambiguous partially observable Markov decision processes: Structural results and applications.
Soroush SaghafianPublished in: J. Econ. Theory (2018)
Keyphrases
- partially observable markov decision processes
- finite state
- reinforcement learning
- belief space
- decision problems
- optimal policy
- dynamical systems
- planning under uncertainty
- partially observable stochastic games
- continuous state
- belief state
- state space
- markov decision processes
- dynamic programming
- planning problems
- partial observability
- partially observable domains
- multi agent
- stochastic domains
- point based value iteration
- dec pomdps
- partially observable markov
- decision making
- infinite horizon
- heuristic search
- sufficient conditions
- probabilistic model
- computational complexity
- multi agent systems