7 search results - page 1 / 2 » Learning to Negotiate Optimally in Non-stationary Environmen... |
ATAL
2004
Springer
13 years 10 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...
CIA
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
WECWIS
2005
IEEE
13 years 10 months ago
2005
IEEE
This paper studies adaptive bilateral negotiation between software agents in e-commerce environments. Specifically, we assume that the agents are self-interested, the environment...
ESWA
2008
13 years 4 months ago
2008
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
IJCAI
2003
13 years 6 months ago
2003
In this paper we describe an integrated multilevel learning approach to multiagent coalition formation in a real-time environment. In our domain, agents negotiate to form teams to...