2108 search results - page 281 / 422 » Tracking in Reinforcement Learning |
144
Voted
EWCBR
2008
Springer
15 years 5 months ago
2008
Springer
In this paper we propose an approach to address the old problem of identifying the feature conditions under which a gaming strategy can be effective. For doing this, we will build ...
AIPS
2006
15 years 5 months ago
2006
Policy Reuse is a method to improve reinforcement learning with the ability to solve multiple tasks by building upon past problem solving experience, as accumulated in a Policy Li...
129
Voted
NN
2006
Springer
15 years 3 months ago
2006
Springer
Previous studies have shown that non-human primates can generate highly stochastic choice behaviour, especially when this is required during a competitive interaction with another...
143
Voted
TSMC
2008
15 years 3 months ago
2008
Abstract--This research proposes a use of an agent-based intelligent simulator to numerically examine the influence of a transmission line limit on the dynamics of a wholesale powe...
120
Voted
AI
2002
Springer
15 years 3 months ago
2002
Springer
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results. Starting from random initial play, TD...