89 search results - page 5 / 18 » Learning with Continuous Experts Using Drifting Games |
ESANN
2008
13 years 10 months ago
2008
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
AIIDE
2008
13 years 11 months ago
2008
Human experience with interactive games will be enhanced if the software agents that play the game learn from their failures. Techniques such as reinforcement learning provide one...
ICRA
2010
IEEE
13 years 7 months ago
2010
IEEE
— This paper addresses the problem of acquiring a hierarchically structured robotic skill in a nonstationary environment. This is achieved through a combination of learning primi...
PAKDD
2004
ACM
14 years 1 months ago
2004
ACM
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
ATAL
2005
Springer
14 years 2 months ago
2005
Springer
Designing agents whose behavior challenges human players adequately is a key issue in computer games development. This work presents a novel technique, based on reinforcement lear...