60 search results - page 2 / 12 » Iteratively Extending Time Horizon Reinforcement Learning |
ATAL
2004
Springer
13 years 10 months ago
2004
Springer
Many algorithms such as Q-learning successfully address reinforcement learning in single-agent multi-time-step problems. In addition there are methods that address reinforcement l...
ECML
2003
Springer
13 years 10 months ago
2003
Springer
We present in this paper a method to introduce a priori knowledge into reinforcement learning using temporally extended actions. The aim of our work is to reduce the learning time ...
ML
2002
ACM
13 years 4 months ago
2002
ACM
We present new algorithms for reinforcement learning, and prove that they have polynomial bounds on the resources required to achieve near-optimal return in general Markov decisio...
ECAI
2008
Springer
13 years 7 months ago
2008
Springer
Time is a crucial variable in planning and often requires special attention since it introduces a specific structure along with additional complexity, especially in the case of dec...
ICML
2000
IEEE
14 years 6 months ago
2000
IEEE
We explore combining reinforcement learning with a hand-crafted local controller in a manner suggested by the chaotic control algorithm of Vincent, Schmitt and Vincent (1994). A c...