Continual Reinforcement Learning for Quadruped Robot Locomotion
The ability to learn continuously is crucial for a robot to achieve a high level of intelligence and autonomy. In this paper, we consider continual reinforcement learning (RL) for quadruped robots, which includes the ability to continuously learn sub-sequential tasks (plasticity) and maintain perfor...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2024-01-01
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| coleção: | Entropy |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/1099-4300/26/1/93 |
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