Energy-Based Exploration for Reinforcement Learning of Underactuated Mechanical Systems
Reinforcement Learning (RL) for underactuated mechanical systems presents unique challenges due to the limited control inputs and complex dynamics of the system. Efficient exploration poses a significant problem for two reasons: First, these systems must start each episode of learning from an equili...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11023531/ |
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