Sciweavers

63 search results - page 8 / 13
» Convergence and No-Regret in Multiagent Learning
Sort
View
ATAL
2008
Springer
15 years 2 months ago
No-regret learning and a mechanism for distributed multiagent planning
We develop a novel mechanism for coordinated, distributed multiagent planning. We consider problems stated as a collection of single-agent planning problems coupled by common soft...
Jan-P. Calliess, Geoffrey J. Gordon
81
Voted
ML
1998
ACM
15 years 19 hour ago
Conjectural Equilibrium in Multiagent Learning
Abstract. Learning in a multiagent environment is complicated by the fact that as other agents learn, the environment effectively changes. Moreover, other agents’ actions are oft...
Michael P. Wellman, Junling Hu
ICML
1999
IEEE
16 years 1 months ago
Implicit Imitation in Multiagent Reinforcement Learning
Imitation is actively being studied as an effective means of learning in multi-agent environments. It allows an agent to learn how to act well (perhaps optimally) by passively obs...
Bob Price, Craig Boutilier
93
Voted
AAAI
2004
15 years 1 months ago
Performance Bounded Reinforcement Learning in Strategic Interactions
Despite increasing deployment of agent technologies in several business and industry domains, user confidence in fully automated agent driven applications is noticeably lacking. T...
Bikramjit Banerjee, Jing Peng
113
Voted
JSW
2007
147views more  JSW 2007»
15 years 7 days ago
Towards Secure e-Learning Applications: a Multiagent Platform
—This paper presents some results in the intersection of three technological fields: e-learning, multiagent systems, and standards to improve the development of secure systems. T...
Carine G. Webber, Maria de Fátima Webber do...