251 search results - page 13 / 51 » Skill Combination for Reinforcement Learning |
ITS
2004
Springer
2004
Springer
Combining Heuristics and Formal Methods in a Tool for Supporting Simulation-Based Discovery Learning
15 years 5 months ago
Abstract. This paper describes the design of a tool to support learners in simulation-based discovery learning environments. The design redesigns and extents a previous tool to ove...
100
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ICRA
2010
IEEE
14 years 10 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...
105
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ICML
2004
IEEE
16 years 17 days ago
2004
IEEE
We consider learning in a Markov decision process where we are not explicitly given a reward function, but where instead we can observe an expert demonstrating the task that we wa...
TSMC
2008
14 years 11 months ago
2008
This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and fin...
110
Voted
TFS
2011
14 years 6 months ago
2011
—Reinforcement learning (RL) is a valuable learning method when the systems require a selection of control actions whose consequences emerge over long periods for which input– ...