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Name: Shengnan Chen
Type: User
Location: Stuttgart, Germany
Name: Shengnan Chen
Type: User
Location: Stuttgart, Germany
Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"
Web-hosted documentation on BeagleBone enhanced with BoneScript and live-running tutorials
The cob_common stack hosts common packages that are used within the Care-O-bot repository. E.g. utility packages or common message and service definitions etc. Also the urdf desciption of the robot is located in this stack.
The cob_control stack includes packages that are used to do low level control tasks with Care-O-bot hardware over ROS.
Care-O-bot navigation packages
The cob_simulation stack includes packages to work with Care-O-bot within simulation environments, e.g. gazebo.
Reinforcement Learning source of my thesis
A toolkit for developing and comparing reinforcement learning algorithms.
Deep Reinforcement Learning for Keras.
installed mingw for windows
A high-performance distributed execution engine
Simple Reinforcement learning tutorials
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Setting up Care-O-bot repositories with github.
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