A nucleus for Bayesian Partially Observable Markov Games: Joint observer and mechanism design.
Julio B. ClempnerAlexander S. PoznyakPublished in: Eng. Appl. Artif. Intell. (2020)
Keyphrases
- mechanism design
- partially observable
- markov decision processes
- reinforcement learning
- reinforcement learning algorithms
- state space
- dynamical systems
- game theory
- decision problems
- incomplete information
- markov decision problems
- multiagent reinforcement learning
- infinite horizon
- belief state
- reward function
- combinatorial auctions
- game theoretic
- decision theory
- multiagent systems
- optimal policy
- cooperative
- autonomous agents
- machine learning