A simple random searching technique which provides a competitive approach to Reinforcement learning for Locomotion related tasks on Mu-Jo-Co bodies like Humanoid, Half-Cheetah etc
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Updated
Jun 21, 2022 - Python
A simple random searching technique which provides a competitive approach to Reinforcement learning for Locomotion related tasks on Mu-Jo-Co bodies like Humanoid, Half-Cheetah etc
Pytorch Implementation of TD3 and SAC algorithms on Mujuco Models
LMMRobot is a professional end-to-end development framework that uses multimodal large models to enable embodied intelligent robot development.
A playful yet powerful ROS-powered humanoid robotics framework—combining Gazebo simulation, ROS control, and optional reinforcement learning—to bring lifelike gait, balance, and interaction to a pint-sized robot.
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