1236 search results - page 42 / 248 » Opposition-Based Reinforcement Learning |
ICML
1997
IEEE
14 years 10 months ago
1997
IEEE
Explanation-Based Reinforcement Learning (EBRL) was introduced by Dietterich and Flann as a way of combining the ability of Reinforcement Learning (RL) to learn optimal plans with...
ILP
2007
Springer
14 years 4 months ago
2007
Springer
In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
NIPS
2003
13 years 11 months ago
2003
Significant plasticity in sensory cortical representations can be driven in mature animals either by behavioural tasks that pair sensory stimuli with reinforcement, or by electro...
FLAIRS
1998
13 years 11 months ago
1998
Our focus is on designing adaptable agents for highly dynamic environments. Wehave implementeda reinforcement learning architecture as the reactive componentof a twolayer control ...
ICML
1998
IEEE
14 years 10 months ago
1998
IEEE
Relational reinforcement learning (RRL) is both a young and an old eld. In this paper, we trace the history of the eld to related disciplines, outline some current work and promis...