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Ray - A unified framework for scaling AI and Python applications
Ray is an open-source unified compute framework that makes it easy to scale AI and Python workloads — from reinforcement learning to deep learning to tuning, and model serving. Ray is a unified way to scale Python and AI applications from a single node to a cluster.
data-science machine-learning reinforcement-learning deep-learning deployment tensorflow optimization parallel pytorch distributed model-selection automl hyperparameter-search rllibgym-pybullet-drones - PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
control reinforcement-learning uav quadcopter robotics multi-agent quadrotor crazyflie ros2 pybullet gym-environment rllib
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