fahimfss / JSACView on GitHub
JSAC is a Soft Actor-Critic (SAC) based Reinforcement Learning (RL) system designed for high-performance and stable learning from images. JSAC is well-suited for real-world, vision-based robotic tasks and learning from scratch. JSAC supports fully onboard vision-based RL training in edge devices such as Jetson Orin Nano.
☆11Oct 3, 2025Updated last year

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