22 search results - page 2 / 5 » Reinforcement Learning for Nash Equilibrium Generation |
JAIR
2008
14 years 10 months ago
2008
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Due to the complexity of the problem, the majority of the previo...
82
Voted
ATAL
2003
Springer
15 years 3 months ago
2003
Springer
Multiagent learning literature has investigated iterated twoplayer games to develop mechanisms that allow agents to learn to converge on Nash Equilibrium strategy profiles. Such ...
90
Voted
AAAI
1998
14 years 11 months ago
1998
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
ICML
2000
IEEE
15 years 11 months ago
2000
IEEE
Stochastic games are a generalization of MDPs to multiple agents, and can be used as a framework for investigating multiagent learning. Hu and Wellman (1998) recently proposed a m...
82
Voted
ATAL
2004
Springer
15 years 3 months ago
2004
Springer
This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...