Curriculum Learning for Robot Manipulation Tasks With Sparse Reward Through Environment Shifts
Multi-goal reinforcement learning (RL) with sparse rewards poses a significant challenge for RL methods. Hindsight experience replay (HER) addresses this challenge by learning from failures and replacing the desired goals with achieved states. However, HER often becomes inefficient when the desired...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10480429/ |