63 search results - page 12 / 13 » Convergence and No-Regret in Multiagent Learning |
AAMAS
2007
Springer
14 years 5 months ago
2007
Springer
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
ECML
2003
Springer
14 years 4 months ago
2003
Springer
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
ATAL
2006
Springer
14 years 2 months ago
2006
Springer
Modeling dynamical systems composed of aggregations of primitive proteins is critical to the field of astrobiological science, which studies early evolutionary structures dealing ...
ATAL
2008
Springer
14 years 27 days ago
2008
Springer
Effective norms, emerging from sustained individual interactions over time, can complement societal rules and significantly enhance performance of individual agents and agent soci...
IJCAI
2007
14 years 9 days ago
2007
Behavioral norms are key ingredients that allow agent coordination where societal laws do not sufficiently constrain agent behaviors. Whereas social laws need to be enforced in a...