Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions.
Shayegan OmidshafieiAli-akbar Agha-mohammadiChristopher AmatoJonathan P. HowPublished in: CoRR (2015)
Keyphrases
- decentralized control
- belief space
- partially observable markov decision processes
- markov decision processes
- finite state
- planning under uncertainty
- optimal policy
- state space
- reinforcement learning
- continuous state
- partially observable
- dynamic programming
- reinforcement learning algorithms
- decision theoretic planning
- infinite horizon
- belief state
- dynamical systems
- smart grid
- average cost
- dec pomdps
- multi agent
- decision problems
- initial state
- motion planning
- dynamic environments
- linear programming
- point based value iteration