251 search results - page 29 / 51 » Skill Combination for Reinforcement Learning |
155
click to vote
ATAL
2009
Springer
15 years 12 months ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
150
click to vote
AAAI
2000
15 years 6 months ago
2000
As applications for artificially intelligent agents increase in complexity we can no longer rely on clever heuristics and hand-tuned behaviors to develop their programming. Even t...
131
click to vote
IROS
2008
IEEE
15 years 11 months ago
2008
IEEE
—Dynamic system-based motor primitives [1] have enabled robots to learn complex tasks ranging from Tennisswings to locomotion. However, to date there have been only few extension...
156
click to vote
CAINE
2008
15 years 6 months ago
2008
For many years, introductory Computer Science courses have followed the same teaching paradigms. These paradigms utilize only simple console windows; more interactive approaches t...
153
click to vote
SIGCSE
2004
ACM
15 years 10 months ago
2004
ACM
Introductory computer science students rely on a trial and error approach to fixing errors and debugging for too long. Moving to a reflection in action strategy can help students ...