688 search results - page 68 / 138 » Using reinforcement learning to adapt an imitation task |
IROS
2006
IEEE
15 years 5 months ago
2006
IEEE
Abstract— Decision trees, being human readable and hierarchically structured, provide a suitable mean to derive state-space abstraction and simplify the inclusion of the availabl...
ACL
2010
14 years 10 months ago
2010
In this paper, we address the task of mapping high-level instructions to sequences of commands in an external environment. Processing these instructions is challenging--they posit...
108
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FLAIRS
2008
15 years 2 months ago
2008
Although several researchers have integrated methods for reinforcement learning (RL) with case-based reasoning (CBR) to model continuous action spaces, existing integrations typic...
121
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CORR
2011
Springer
14 years 6 months ago
2011
Springer
Modeling the behavior of imperfect agents from a small number of observations is a difficult, but important task. In the singleagent decision-theoretic setting, inverse optimal co...
CORR
2010
Springer
14 years 12 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...