Improving Multi-Robot Coordination by Game-Theoretic Learning Algorithms.
Michalis SmyrnakisHongyang QuSandor M. VeresPublished in: Int. J. Artif. Intell. Tools (2018)
Keyphrases
- game theoretic
- game theory
- learning algorithm
- decision problems
- nash equilibrium
- machine learning algorithms
- multi robot coordination
- machine learning
- imperfect information
- rational agents
- trust model
- solution concepts
- regret minimization
- resource allocation
- cooperative
- multi agent
- agent programming
- real time
- lower bound
- learning tasks
- combinatorial auctions
- decision making
- pure nash equilibria