Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets
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Updated
Jul 10, 2022 - Python
Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets
Population-Based Training (PBT) for Reinforcement Learning using Message Passing Interface (MPI)
Kya kre ga jan kr
Reinforcement learning with pytorch
Monitoring recent cross-research on LLM & RL on arXiv for control. If there are good papers, PRs are welcome.
This repo contains learnings about Artificial Intelligence and Machine Learning using Python Jupyter Notebooks downloaded as HTML
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