318 search results - page 2 / 64 » Learning Rules for Adaptive Planning |
AGENTS
1998
Springer
13 years 9 months ago
1998
Springer
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
ICML
2000
IEEE
14 years 6 months ago
2000
IEEE
IJCAI
1993
13 years 6 months ago
1993
One method for reducing the time required for plan generation is to learn search control rules from experience. Most of the recent work in learning search control knowledge has co...
AAAI
1994
13 years 6 months ago
1994
This paper presents snlp+ebl, the first implementation of explanation based learning techniques for a partial order planner. We describe the basic learning framework of snlp+ebl, ...
IWCLS
2007
Springer
13 years 11 months ago
2007
Springer
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...