thkkk/FCNet
Fourier Controller Networks (FCNet) for Real-Time Decision-Making in Embodied Learning, ICML 2024
This project offers a method for training robots and other embodied systems to make decisions quickly and effectively. It takes demonstrations of expert behavior as input and produces a control policy that enables the robot to perform complex tasks in real-time. This is ideal for robotics researchers and engineers developing autonomous systems that need to react instantly to dynamic environments.
No commits in the last 6 months.
Use this if you are building autonomous robots or embodied agents and need to train them for real-time decision-making using demonstrated expert behaviors.
Not ideal if your primary goal is general-purpose reinforcement learning without a focus on embodied systems or rapid inference.
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Python
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Last pushed
Jan 02, 2025
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