Parallel Algorithm for Approximating Nash Equilibrium in Multiplayer Stochastic Games with Application to Naval Strategic Planning.
Sam GanzfriedConner LaughlinCharles MorefieldPublished in: CoRR (2019)
Keyphrases
- stochastic games
- nash equilibrium
- parallel algorithm
- nash equilibria
- strategic planning
- game theory
- imperfect information
- game theoretic
- markov decision processes
- repeated games
- multi agent
- incomplete information
- multi agent reinforcement learning
- multiagent reinforcement learning
- infinite horizon
- average reward
- fixed point
- worst case
- machine learning