664 search results - page 38 / 133 » Combining Reinforcement Learning with a Local Control Algori... |
NIPS
2001
14 years 11 months ago
2001
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
ATAL
2009
Springer
15 years 4 months ago
2009
Springer
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
ATAL
2009
Springer
14 years 8 months ago
2009
Springer
In this paper we use a reinforcement learning algorithm with the aim to increase the autonomous lifetime of a Wireless Sensor Network (WSN) and decrease latency in a decentralized...
EUROCAST
2007
Springer
15 years 4 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...