374 search results - page 18 / 75 » Multiagent Reinforcement Learning: Theoretical Framework and... |
ATAL
2004
Springer
14 years 1 months ago
2004
Springer
Product Distribution (PD) theory is a new framework for controlling Multi-Agent Systems (MAS’s). First we review one motivation of PD theory, as the information-theoretic extens...
IJCAI
2007
13 years 9 months ago
2007
Deictic representation is a representational paradigm, based on selective attention and pointers, that allows an agent to learn and reason about rich complex environments. In this...
ML
2007
ACM
13 years 7 months ago
2007
ACM
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
Reinforcement learning algorithms that use eligibility traces, such as Sarsa(λ), have been empirically shown to be effective in learning good estimated-state-based policies in pa...