Improved Algorithms for Learning Equilibria in Simulation-Based Games.
Enrique Areyan ViqueiraCyrus CousinsAmy GreenwaldPublished in: AAMAS (2020)
Keyphrases
- learning algorithm
- nash equilibria
- stochastic games
- learning problems
- learning process
- learning agents
- reinforcement learning
- multiagent learning
- worst case
- learning models
- computational complexity
- active learning
- supervised learning
- optimization problems
- learning scenarios
- noise tolerant
- pure strategy
- game theoretic
- inductive inference
- machine learning
- nash equilibrium
- learning tasks
- machine learning algorithms
- theoretical analysis
- computationally efficient
- significant improvement
- prior knowledge
- lower bound
- cooperative
- decision trees