340 search results - page 23 / 68 » Kernelized value function approximation for reinforcement le... |
119
click to vote
ICRA
2009
IEEE
15 years 9 months ago
2009
IEEE
Abstract— Continuous action sets are used in many reinforcement learning (RL) applications in robot control since the control input is continuous. However, discrete action sets a...
119
click to vote
ICANN
2009
Springer
15 years 6 months ago
2009
Springer
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
109
click to vote
ATAL
2005
Springer
15 years 8 months ago
2005
Springer
Temporal difference (TD) learning methods [22] have become popular reinforcement learning techniques in recent years. TD methods have had some experimental successes and have been...
113
click to vote
ATAL
2008
Springer
15 years 4 months ago
2008
Springer
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
142
click to vote
JMLR
2010
14 years 9 months ago
2010
Actor-Critic based approaches were among the first to address reinforcement learning in a general setting. Recently, these algorithms have gained renewed interest due to their gen...