Essential stationary equilibria of mean field games with finite state and action space.
Berenice Anne NeumannPublished in: Math. Soc. Sci. (2022)
Keyphrases
- finite state
- action space
- markov decision processes
- action sets
- nash equilibria
- continuous time bayesian networks
- game theoretic
- state space
- continuous state
- stationary policies
- nash equilibrium
- game theory
- stochastic games
- markov chain
- optimal policy
- reinforcement learning
- markov decision process
- non stationary
- fixed point
- dynamic programming
- decision problems
- long run
- average reward
- partially observable
- markov decision problems
- reinforcement learning algorithms
- markov random field
- average cost
- real valued
- model checking
- policy iteration
- em algorithm
- infinite horizon
- partially observable markov decision processes
- belief networks
- state action
- heuristic search
- search space
- action selection