50 search results - page 7 / 10 » Learning to Drive a Bicycle Using Reinforcement Learning and... |
ATAL
2010
Springer
13 years 7 months ago
2010
Springer
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
Reward shaping is a well-known technique applied to help reinforcement-learning agents converge more quickly to nearoptimal behavior. In this paper, we introduce social reward sha...
ICVS
2009
Springer
13 years 5 months ago
2009
Springer
This paper introduces a new way to apply boosting to a joint feature pool from different sensors, namely 3D range data and color vision. The combination of sensors strengthens the ...
GECCO
2009
Springer
14 years 2 months ago
2009
Springer
Tetris is a falling block game where the player’s objective is to arrange a sequence of different shaped tetrominoes smoothly in order to survive. In the intelligence games, ag...
MIAR
2006
IEEE
14 years 1 months ago
2006
IEEE
This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...