355 search results - page 19 / 71 » Online Learning and Exploiting Relational Models in Reinforc... |
136
Voted
NECO
2007
15 years 3 months ago
2007
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
163
Voted
NECO
2007
15 years 3 months ago
2007
The persistent modification of synaptic efficacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spiketiming-dependent plasticity (...
126
Voted
ICML
2003
IEEE
15 years 9 months ago
2003
IEEE
Shaping can be an effective method for improving the learning rate in reinforcement systems. Previously, shaping has been heuristically motivated and implemented. We provide a for...
120
Voted
KDD
2010
ACM
15 years 7 months ago
2010
ACM
In this paper, we propose and develop a novel approach to the problem of optimally managing the tax, and more generally debt, collections processes at financial institutions. Our...
131
Voted
PKDD
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...