Collection of RL Environments built using Madrona

Manage i3wm workspaces in groups

☂️📜 Python script that shows weather info

Building a multi-master multi-node Kubernetes homelab with kubeadm, Ansible, Helm and Terraform.

A curated list of projects, templates or anything interesting related to the Supernote tablet

Author's PyTorch implementation of TD3 for OpenAI gym tasks

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization

Setup and customize deep learning environment in seconds.

TensorFlow Reinforcement Learning

Code for the paper "Large-Scale Study of Curiosity-Driven Learning"

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Simple examples to introduce PyTorch

Series Algorithms of Deep Reinforcement Learning, such as DQN, DDQN, one-step-DQN, DDPG, etc

A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning agents!

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

TensorFlow - A curated list of dedicated resources http:https://tensorflow.org

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

Models and examples built with TensorFlow

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Python module for GQ-CNN training and deployment with ROS integration.