Finite-horizon equilibria for neuro-symbolic concurrent stochastic games.
Rui YanGabriel SantosXiaoming DuanDavid ParkerMarta KwiatkowskaPublished in: UAI (2022)
Keyphrases
- stochastic games
- finite horizon
- games with incomplete information
- markov decision processes
- infinite horizon
- nash equilibria
- repeated games
- long run
- optimal policy
- average reward
- nash equilibrium
- average cost
- game theory
- neuro fuzzy
- dynamic programming
- neural network
- finite state
- optimal control
- incomplete information
- markov decision process
- policy iteration
- state space
- multistage
- game theoretic
- partially observable
- reinforcement learning
- reward function
- search algorithm