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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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2024-01-01
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| Collection: | Entropy |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/1099-4300/26/1/93 |
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