Partially Observable Markov Decision Processes with Behavioral Norms.
Matthias NicklesAchim RettingerPublished in: Normative Multi-Agent Systems (2009)
Keyphrases
- partially observable markov decision processes
- finite state
- planning under uncertainty
- dynamical systems
- reinforcement learning
- decision problems
- belief state
- continuous state
- dynamic programming
- belief space
- markov decision processes
- partially observable stochastic games
- partial observability
- optimal policy
- state space
- stochastic domains
- multi agent
- partially observable
- partially observable domains
- planning problems
- point based value iteration
- sequential decision making problems
- multi agent systems
- single agent
- partially observable markov
- approximate solutions
- markov chain
- computational complexity
- infinite horizon
- linear programming
- partially observable markov decision process