1799 search results - page 216 / 360 » Filtered Reinforcement Learning |
137
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NIPS
2008
15 years 5 months ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
133
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TSMC
2008
15 years 4 months ago
2008
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
148
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ICRA
2010
IEEE
15 years 2 months ago
2010
IEEE
— The goal of this research is to enable mobile robots to navigate through crowded environments such as indoor shopping malls, airports, or downtown side walks. The key research ...
131
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RAS
2010
15 years 2 months ago
2010
Grasping an object is a task that inherently needs to be treated in a hybrid fashion. The system must decide both where and how to grasp the object. While selecting where to grasp...
131
Voted
ICMLA
2010
15 years 2 months ago
2010
Abstract--We study how to effectively integrate reinforcement learning (RL) and programming languages via adaptation-based programming, where programs can include non-deterministic...