This package is the canonical Python bindings for the MuJoCo physics engine. These bindings are developed and maintained by Google DeepMind, and is kept up-to-date with the latest developments in ...
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Abstract: Control algorithms rely on robot simulation platforms to evaluate the dynamics of the controlled robot. For legged robot simulators, the ability to handle contact and friction is fundamental ...
Abstract: Model Predictive Control (MPC) and Reinforcement Learning (RL) are two prominent strategies for controlling legged robots. RL learns control policies through system interaction, adapting to ...