Sciweavers

2464 search results - page 9 / 493
» Efficient learning equilibrium
Sort
View
89
Voted
ICML
1998
IEEE
15 years 10 months ago
Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
Junling Hu, Michael P. Wellman
JUCS
2008
104views more  JUCS 2008»
14 years 9 months ago
Optimal Transit Price Negotiation: The Distributed Learning Perspective
: We present a distributed learning algorithm for optimizing transit prices in the inter-domain routing framework. We present a combined game theoretical and distributed algorithmi...
Dominique Barth, Loubna Echabbi, Chahinez Hamlaoui
AMAI
2006
Springer
14 years 9 months ago
Bargaining over multiple issues in finite horizon alternating-offers protocol
In this paper we study multi issue alternating-offers bargaining in a perfect information finite horizon setting, we determine the pertinent subgame perfect equilibrium, and we pro...
Francesco Di Giunta, Nicola Gatti
LAMAS
2005
Springer
15 years 3 months ago
Unifying Convergence and No-Regret in Multiagent Learning
We present a new multiagent learning algorithm, RVσ(t), that builds on an earlier version, ReDVaLeR . ReDVaLeR could guarantee (a) convergence to best response against stationary ...
Bikramjit Banerjee, Jing Peng
72
Voted
NIPS
2001
14 years 11 months ago
Playing is believing: The role of beliefs in multi-agent learning
We propose a new classification for multi-agent learning algorithms, with each league of players characterized by both their possible strategies and possible beliefs. Using this c...
Yu-Han Chang, Leslie Pack Kaelbling