51 search results - page 3 / 11 » Characterizing reinforcement learning methods through parame... |
ICAI
2004
13 years 9 months ago
2004
An explicit exploration strategy is necessary in reinforcement learning (RL) to balance the need to reduce the uncertainty associated with the expected outcome of an action and the...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
Recent work in transfer learning has succeeded in making reinforcement learning algorithms more efficient by incorporating knowledge from previous tasks. However, such methods typ...
IDEAL
2007
Springer
14 years 1 months ago
2007
Springer
Recently researchers have introduced methods to develop reusable knowledge in reinforcement learning (RL). In this paper, we define simple principles to combine skills in reinforce...
CCIA
2005
Springer
14 years 1 months ago
2005
Springer
— This paper proposes a high-level Reinforcement Learning (RL) control system for solving the action selection problem of an autonomous robot. Although the dominant approach, whe...
IAT
2008
IEEE
13 years 7 months ago
2008
IEEE
TD-FALCON (Temporal Difference - Fusion Architecture for Learning, COgnition, and Navigation) is a class of self-organizing neural networks that incorporates Temporal Difference (...