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End-to-End Autonomous Exploration with Deep Reinforcement Learning and Intrinsic Motivation
Developing artificial intelligence (AI) agents is challenging for efficient exploration in visually rich and complex environments. In this study, we formulate the exploration question as a reinforcement learning problem and rely on intrinsic motivation to guide exploration behavior. Such intrinsic m...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8702337/ https://www.ncbi.nlm.nih.gov/pubmed/34956359 http://dx.doi.org/10.1155/2021/9945044 |