Closed-form Solutions to a Subclass of Continuous Stochastic Games via Symbolic Dynamic Programming.
Shamin KinathilScott SannerNicolás Della PennaPublished in: UAI (2014)
Keyphrases
- stochastic games
- closed form solutions
- dynamic programming
- markov decision processes
- closed form
- infinite horizon
- nash equilibria
- point correspondences
- average reward
- constrained optimization
- special case
- nash equilibrium
- optimal policy
- reinforcement learning algorithms
- state space
- learning automata
- imperfect information
- finite state
- machine learning
- linear programming
- worst case
- policy iteration
- reinforcement learning
- genetic algorithm