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→Training frameworks
==Training frameworks==
Popular training frameworksare listed here with example applications. ===[https://github.com/NVIDIA-Omniverse/IsaacGymEnvs Isaac Gym]===
Isaac Gym is NVIDIA's robotics simulation tool, part of the Isaac SDK. It leverages GPU acceleration to enable the simulation of thousands of robot bodies simultaneously, making it highly efficient for training machine learning models in robotics. It's designed to streamline robotics applications, focusing on reinforcement learning in a virtual environment.
===[https://gymnasium.farama.org/ Gymnasium]===
Gymnasium is an open-source toolkit for developing and comparing reinforcement learning algorithms. Originally developed by OpenAI as "Gym," it provides a standardized set of environments (like Atari games, robotic simulations, etc.) to test and benchmark AI algorithms. It's widely used in the AI research community to foster innovation and replication in RL studies.
===[[Applications]]===
Over the last decade several advancements have been made in learning locomotion and manipulation skills with simulations. See non-comprehensive list here.
== Training methods ==