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FPGA-Based On-Device RL with OS-ELM by milton06de is a document available to read on EtoBox.

What is FPGA-Based On-Device RL with OS-ELM about?

This paper presents a lightweight on-device reinforcement learning approach using Online Sequential Extreme Learning Machine (OS-ELM) for low-cost FPGA devices, specifically designed for the PYNQ-Z1 board. The proposed method enhances stability in Q-learning by incorporating L2 regularization and spectral normalization, achieving significantly faster performance in completing tasks compared to conventional DQN-based approaches. Evaluation results demonstrate that the OS-ELM Q-Network can complete a CartPole

Author

milton06de

Language

EN