250 search results - page 26 / 50 » Learning action effects in partially observable domains |
106
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AAAI
2012
13 years 19 hour ago
2012
The study of transportability aims to identify conditions under which causal information learned from experiments can be reused in a different environment where only passive obser...
ML
1998
ACM
14 years 9 months ago
1998
ACM
Abstract. Learning in a multiagent environment is complicated by the fact that as other agents learn, the environment effectively changes. Moreover, other agents’ actions are oft...
DAGSTUHL
2007
14 years 11 months ago
2007
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
96
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AAAI
1996
14 years 11 months ago
1996
In this paper we describe the design and implementation of the derivation replay framework, dersnlp+ebl (Derivational snlp+ebl), which is based within a partial order planner. der...
ICML
1999
IEEE
15 years 10 months ago
1999
IEEE
Imitation is actively being studied as an effective means of learning in multi-agent environments. It allows an agent to learn how to act well (perhaps optimally) by passively obs...