Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random g…

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OpenaAI Gym Franka Emika Panda robot environment based on PyBullet.

Robotics Gym Environments

Author's PyTorch implementation of BCQ for continuous and discrete actions

Lightweight, stable, efficient PyTorch implement of reinforcement learning. I want to call this PyTorch implement as "3-Python-file-RL".

Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning

multi-agent deep reinforcement learning for large-scale traffic signal control.

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

This is an application exploiting principles of Deep Reinforcement Learning. The Deep Neural Network is trained to approximate the Bellman Equation (Q-Learning).

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

CoLight: Learning Network-level Cooperation for Traffic Signal Control

This is a dynamic simulation for quadrotor UAV

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize the traffic efficiency.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)

OpenAI Gym environment for Robot Soccer Goal

OpenAI Gym environment for Platform

Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

📚 A practical approach to learning and using machine learning.

Best Practices on Recommendation Systems

An OpenAI environment for developing neuro-flight controllers using reinforcement learning