95 search results - page 1 / 19 » Reduction Techniques for Instance-Based Learning Algorithms |
ML
2000
ACM
13 years 4 months ago
2000
ACM
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
Relational reinforcement learning (RRL) is a Q-learning technique which uses first order regression techniques to generalize the Qfunction. Both the relational setting and the Q-l...
ROBOCUP
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Two main challenges of robot action planning in real domains are uncertain action effects and dynamic environments. In this paper, an instance-based action model is lear...
ICML
2001
IEEE
14 years 5 months ago
2001
IEEE
This paper addresses the issue of reducing the storage requirements on Instance-Based Learning algorithms. Algorithms proposed by other researches use heuristics to prune instance...
NIPS
2001
13 years 6 months ago
2001
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...