A Partially Observable Stochastic Zero-sum Game for a Network Epidemic Control Problem.
Olivier TsemogneYezekael HayelCharles A. KamhouaGabriel DeugouePublished in: Dyn. Games Appl. (2022)
Keyphrases
- partially observable
- game theory
- stochastic games
- markov decision processes
- decision problems
- nash equilibria
- nash equilibrium
- control system
- game theoretic
- state space
- reinforcement learning
- incomplete information
- initially unknown
- infinite horizon
- network structure
- fully observable
- partial observability
- belief state
- action models
- partially observable domains
- partial observations
- markov decision problems
- sufficient conditions
- reinforcement learning algorithms
- optimal strategy
- orders of magnitude
- optimal control
- monte carlo
- control strategy