A Comparative Analysis of Reinforcement Learning Methods
This paper analyzes the suitability of reinforcement learning (RL) for both programming and adapting situated agents. We discuss two RL algorithms: Q-learning and the Bucket Brigade. We introduce a special case of the Bucket Brigade, and analyze and compare its performance to Q in a number of...
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| Language: | en_US |
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2004
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| Online Access: | http://hdl.handle.net/1721.1/5978 |