135 search results - page 22 / 27 » Using Reinforcement Learning to Coordinate Better |
CDC
2010
IEEE
13 years 4 months ago
2010
IEEE
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
BMEI
2008
IEEE
14 years 4 months ago
2008
IEEE
Three types of data modelling technique are applied retrospectively to individual patients’ anticoagulation therapy data to predict their future levels of anticoagulation. The r...
ATAL
2010
Springer
13 years 11 months ago
2010
Springer
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
ATAL
2006
Springer
14 years 1 months ago
2006
Springer
We study how decentralized agents can develop a shared vocabulary without global coordination. Answering this question can help us understand the emergence of many communication s...
ATAL
2009
Springer
14 years 4 months ago
2009
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...