2842 search results - page 353 / 569 » The Learn@WU Learning Environment |
158
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FLAIRS
1998
15 years 8 months ago
1998
Our focus is on designing adaptable agents for highly dynamic environments. Wehave implementeda reinforcement learning architecture as the reactive componentof a twolayer control ...
177
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TROB
2008
15 years 6 months ago
2008
Affordances encode relationships between actions, objects and effects. They play an important role on basic cognitive capabilities such as prediction and planning. We address the p...
218
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ECML
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
179
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ICANN
2009
Springer
15 years 10 months ago
2009
Springer
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
189
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AAAI
2007
15 years 9 months ago
2007
In this paper we present RETALIATE, an online reinforcement learning algorithm for developing winning policies in team firstperson shooter games. RETALIATE has three crucial chara...