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YouTubeCOSIPS: Computer Simulations in Planetary Science
Training a Robot Arm to Push Objects to a Target with Deep Reinforcement Learning
This animation shows a robot arm learning to push a cylindrical object to a target location using deep reinforcement learning. The agent was trained using Proximal Policy Optimization (PPO) for approximately 2 million timesteps in the MuJoCo Pusher-v5 simulation environment. The animation demonstrates the trained policy in action. The robot arm ...
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