651 search results - page 89 / 131 » Algorithms for Inverse Reinforcement Learning |
130
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FLAIRS
2008
15 years 4 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...
129
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We consider the task of reinforcement learning with linear value function approximation. Temporal difference algorithms, and in particular the Least-Squares Temporal Difference (L...
102
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ICML
2001
IEEE
16 years 3 months ago
2001
IEEE
We call data weakly labeled if it has no exact label but rather a numerical indication of correctness of the label "guessed" by the learning algorithm - a situation comm...
118
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IDEAL
2000
Springer
15 years 6 months ago
2000
Springer
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
115
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NIPS
2003
15 years 3 months ago
2003
We consider the policy search approach to reinforcement learning. We show that if a “baseline distribution” is given (indicating roughly how often we expect a good policy to v...