Optimization algorithm for feedback and feedforward policies towards robot control robust to sensing failures
Abstract Background and problem statement Model-free or learning-based control, in particular, reinforcement learning (RL), is expected to be applied for complex robotic tasks. Traditional RL requires that a policy to be optimized is state-dependent, that means, the policy is a kind of feedback (FB)...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2022-07-01
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| Series: | ROBOMECH Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40648-022-00232-w |