Learning to win by reading manuals in a Monte-Carlo framework
This paper presents a novel approach for leveraging automatically extracted textual knowledge to improve the performance of control applications such as games. Our ultimate goal is to enrich a stochastic player with high-level guidance expressed in text. Our model jointly learns to identify text tha...
| Principais autores: | , , |
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| Outros Autores: | |
| Formato: | Artigo |
| Idioma: | en_US |
| Publicado em: |
Association for Computing Machinery
2012
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| Acesso em linha: | http://hdl.handle.net/1721.1/73115 https://orcid.org/0000-0002-2921-8201 |