1236 search results - page 79 / 248 » Opposition-Based Reinforcement Learning |
121
Voted
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
120
Voted
ATAL
2009
Springer
15 years 10 months ago
2009
Springer
We present a general methodology to automate the search for equilibrium strategies in games derived from computational experimentation. Our approach interleaves empirical game-the...
120
Voted
MICAI
2009
Springer
15 years 10 months ago
2009
Springer
Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
121
Voted
CIRA
2007
IEEE
15 years 10 months ago
2007
IEEE
– This paper describes two experiments with supervised reinforcement learning (RL) on a real, mobile robot. Two types of experiments were preformed. One tests the robot’s relia...
126
Voted
CIG
2006
IEEE
15 years 9 months ago
2006
IEEE
Abstract— This paper describes experiments using reinforcement learning techniques to compute pattern urgencies used during simulations performed in a Monte-Carlo Go architecture...