2108 search results - page 16 / 422 » Tracking in Reinforcement Learning |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
ML
2000
ACM
13 years 7 months ago
2000
ACM
ROBOCUP
2007
Springer
14 years 1 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
KES
2004
Springer
14 years 22 days 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 ...
NIPS
1994
13 years 8 months ago
1994
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...