16 search results - page 1 / 4 » Theoretical Results on Reinforcement Learning with Temporall... |
ECML
1998
Springer
13 years 9 months ago
1998
Springer
ICML
1998
IEEE
14 years 5 months ago
1998
IEEE
tion Learning about Temporally Abstract Actions Richard S. Sutton Department of Computer Science University of Massachusetts Amherst, MA 01003-4610 rich@cs.umass.edu Doina Precup D...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
lative Novelty to Identify Useful Temporal Abstractions in Reinforcement Learning ?Ozg?ur S?im?sek ozgur@cs.umass.edu Andrew G. Barto barto@cs.umass.edu Department of Computer Scie...
NIPS
2008
13 years 6 months ago
2008
In this theoretical contribution we provide mathematical proof that two of the most important classes of network learning - correlation-based differential Hebbian learning and rew...
ATAL
2010
Springer
13 years 5 months ago
2010
Springer
Learning, planning, and representing knowledge in large state t multiple levels of temporal abstraction are key, long-standing challenges for building flexible autonomous agents. ...