Hierarchical reinforcement learning using path clustering
In this paper we intend to study the possibility to improve the performance of the Q-Learning algorithm, by automatically finding subgoals and making better use of the acquired knowledge. This research explores a method that allows an agent to gather information about sequences of states that lead t...
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| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2013
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| Texto completo: | http://hdl.handle.net/10071/5353 |
| País: | Portugal |
| Oai: | oai:repositorio.iscte-iul.pt:10071/5353 |