8970 search results - page 43 / 1794 » Learning to Learn Causal Models |
108
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ATAL
2009
Springer
15 years 8 months ago
2009
Springer
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
118
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ICRA
2010
IEEE
14 years 12 months ago
2010
IEEE
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
HCI
2007
15 years 2 months ago
2007
The paper discusses the relation between accessibility and multimodality of learning objects. I present a framework, rooted in linguistics, that supports a clear distinction betwee...
101
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IJCAI
2007
15 years 2 months ago
2007
In recent years, there has been a growing interest in using rich representations such as relational languages for reinforcement learning. However, while expressive languages have ...
104
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NIPS
1997
15 years 2 months ago
1997
This paper describes some of the interactions of model learning algorithms and planning algorithms we have found in exploring model-based reinforcement learning. The paper focuses...