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Reinforcement Learning for Robotics Part 5: Adding Commands to the Agent | DigiKey
17:09
YouTubeDigiKey
Reinforcement Learning for Robotics Part 5: Adding Commands to the Agent | DigiKey
In this series, we explore using reinforcement learning algorithms (RL) to have a robot learn to balance on its own. We will deploy the trained agent to a real ESP32-based robot platform, tackle the sim-to-real gap using post-processing and domain randomization, and eventually build a full remote-controlled balance bot. The same techniques used ...
16 views1 day ago
Shorts
Hugging Face's Microduck robot learns to move entirely through reinforcement learning. The robot trains in simulation using MuJoCo and PPO on GPUs, then the trained policy is exported to ONNX and deployed on the real hardware. The repo includes policies for walking, fall
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Hugging Face's Microduck robot learns to move entirely through reinforcement learning. The robot trains in simulation using MuJoCo and PPO on GPUs, then the trained policy is exported to ONNX and deployed on the real hardware. The repo includes policies for walking, fall
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