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Arxiv
4d
311
Image Credit: Arxiv
Broad Critic Deep Actor Reinforcement Learning for Continuous Control
- A novel hybrid actor-critic reinforcement learning framework is introduced for continuous control.
- The framework integrates the broad learning system (BLS) with deep neural networks (DNNs).
- The critic network employs BLS for rapid value estimation via ridge regression.
- Experimental results show improved training efficiency and accuracy with the proposed framework.
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