Finite-State Controllers Based on Mealy Machines for Centralized and Decentralized POMDPs.
Christopher AmatoBlai BonetShlomo ZilbersteinPublished in: AAAI (2010)
Keyphrases
- linear programming
- peer to peer
- dec pomdps
- dynamic programming
- distributed constraint optimization
- peer to peer systems
- multi agent
- reinforcement learning
- cooperative
- partially observable markov decision processes
- distributed environment
- fully distributed
- decision theoretic
- machine learning
- infinite horizon
- distributed systems
- markov decision processes
- dynamical systems
- sufficient conditions
- learning machines
- belief state
- search space
- learning algorithm
- information retrieval
- data sets