Multi-Agent Reinforcement Learning for Coalitional Bargaining Games.
Lucia Cipolina-KunStephen MakIgnacio CarluchoVahid YazdanpanahSebastian SteinEnrico H. GerdingKalesha BullardPublished in: Tiny Papers @ ICLR (2023)
Keyphrases
- multi agent reinforcement learning
- solution concepts
- stochastic games
- nash equilibria
- game theory
- coalition formation
- coalitional games
- multi agent learning
- game theoretic
- nash equilibrium
- multi agent
- multi agent systems
- learning agents
- incomplete information
- reinforcement learning
- cooperative
- decision problems
- autonomous agents
- multiagent systems
- mobile robot
- single agent
- imperfect information
- artificial intelligence
- multiple agents
- neural network
- software agents
- markov decision processes
- intelligent agents
- domain knowledge