The Complexity of Decentralized Control of Markov Decision Processes.
Daniel S. BernsteinShlomo ZilbersteinNeil ImmermanPublished in: UAI (2000)
Keyphrases
- markov decision processes
- decentralized control
- optimal policy
- state space
- reinforcement learning
- policy iteration
- dynamic programming
- transition matrices
- multiagent systems
- partially observable
- decision problems
- markov decision process
- reinforcement learning algorithms
- multi agent systems
- average cost
- infinite horizon
- collective behavior
- goal oriented
- multi agent
- reward function
- dynamic environments
- cooperative