63 search results - page 6 / 13 » Convergence and No-Regret in Multiagent Learning |
KES
2004
Springer
14 years 1 months ago
2004
Springer
This paper presents a novel method for on-line coordination in multiagent reinforcement learning systems. In this method a reinforcement-learning agent learns to select its action ...
ATAL
2003
Springer
14 years 1 months ago
2003
Springer
Much emphasis in multiagent reinforcement learning (MARL) research is placed on ensuring that MARL algorithms (eventually) converge to desirable equilibria. As in standard reinfor...
AAMAS
2007
Springer
13 years 8 months ago
2007
Springer
Abstract – Despite increasing deployment of agent technologies in several business and industry domains, user confidence in fully automated agent driven applications is noticeab...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Only a subset of these MARL algorithms both do not require agent...