7 search results - page 2 / 2 » Reinforcement Learning in Continuous Action Spaces through S... |
ECML
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
CI
2005
13 years 4 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 ...