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A Study of Continuous Maximum Entropy Deep Inverse Reinforcement Learning
The assumption of IRL is that demonstrations are optimally acting in an environment. In the past, most of the work on IRL needed to calculate optimal policies for different reward functions. However, this requirement is difficult to satisfy in large or continuous state space tasks. Let alone continu...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Limited
2019-01-01
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| Colecção: | Mathematical Problems in Engineering |
| Acesso em linha: | http://dx.doi.org/10.1155/2019/4834516 |
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