8008 search results - page 695 / 1602 » Learning in Multi-Agent Systems |
189
click to vote
ITICSE
2004
ACM
16 years 27 days ago
2004
ACM
Learning to program is a unique experience for each student, and it is not fully understood why one person in an introductory programming course learns to program better and more ...
227
click to vote
ICRA
2003
IEEE
16 years 23 days ago
2003
IEEE
— In this paper we present a novel method for robot path planning based on learning motion patterns. A motion pattern is defined as the path that results from applying a set of ...
208
click to vote
ICML
2003
IEEE
16 years 22 days ago
2003
IEEE
Shaping can be an effective method for improving the learning rate in reinforcement systems. Previously, shaping has been heuristically motivated and implemented. We provide a for...
208
click to vote
KCAP
2003
ACM
16 years 22 days ago
2003
ACM
While existing learning techniques can be viewed as inducing programs from examples, most research has focused on rather narrow classes of programs, e.g., decision trees or logic ...
209
click to vote
ILP
2003
Springer
16 years 20 days ago
2003
Springer
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...