Abstract | ||
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In this paper, we focus on the problem of learning reactive skills for use by physical agents. We propose a new representation for such procedures, teleoreactive logic programs, along with an interpreter that utilizes them to achieve goals. After this, we describe a learning method that acquires these structures in a cumulative manner through problem solving. We report experiments in three domains that involve multiple levels of skilled behavior. We also review related work and discuss directions for future research. |
Year | DOI | Venue |
---|---|---|
2005 | 10.1007/11536314_4 | ILP |
Keywords | Field | DocType |
reactive skill,cumulative manner,skilled behavior,new representation,multiple level,physical agent,teleoreactive logic program,cumulant | Inductive logic programming,Logic program,Programming language,Horn clause,Computer science,Physical agents,Interpreter,Artificial intelligence,Machine learning,Recursion | Conference |
Volume | ISSN | ISBN |
3625 | 0302-9743 | 3-540-28177-0 |
Citations | PageRank | References |
15 | 0.84 | 16 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dongkyu Choi | 1 | 181 | 13.69 |
Pat Langley | 2 | 6471 | 1307.64 |