44 search results - page 1 / 9 » Improving the performance of complex agent plans through rei... |
ATAL
2010
Springer
14 years 4 hour ago
2010
Springer
ROBOCUP
2007
Springer
14 years 5 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...
CI
2005
13 years 10 months ago
2005
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
ILP
2000
Springer
14 years 2 months ago
2000
Springer
Hierarchical reinforcement learning has been proposed as a solution to the problem of scaling up reinforcement learning. The RLTOPs Hierarchical Reinforcement Learning System is an...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
In this paper, we confront the problem of applying reinforcement learning to agents that perceive the environment through many sensors and that can perform parallel actions using ...