Stars
Models and examples built with TensorFlow
A toolkit for developing and comparing reinforcement learning algorithms.
Python Implementation of Reinforcement Learning: An Introduction
Setup and customize deep learning environment in seconds.
Simple examples to introduce PyTorch
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Author's PyTorch implementation of TD3 for OpenAI gym tasks
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
erlerobot / gym-gazebo
Forked from openai/gymRefer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning agents!
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Python module for GQ-CNN training and deployment with ROS integration.
Manage i3wm workspaces in groups
Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization
Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley
Series Algorithms of Deep Reinforcement Learning, such as DQN, DDQN, one-step-DQN, DDPG, etc
Collection of RL Environments built using Madrona
Deep Reinforcement Learning Pong Agent, King Pong, he's the best
☂️📜 Python script that shows weather info