Beast code in Giters

pladosz's repositories

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This repository is implementaing px4, ros2 and gym intreface for reinforcement learning

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PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

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A Serverless Developer Portal for easily publishing and cataloging APIs

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Chainer implementations of FRMQN and its siblings

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PX4 reinforcement learning training enviroment based on gym-gazebo

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gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

Apache-2.0000

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RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code

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Scripts and documentation on how to setup a ROS system on various platforms, such as Odroid and Intel Edison.

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Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

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VRPN ROS Client

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