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reinforcement-learning-2

Minimal and Clean Reinforcement Learning Examples

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-for-decision-making-in-self-driving-cars

Reinforcement-Learning-for-Decision-Making-in-self-driving-cars

reinforcement-learning-in-robotics

This is a private learning repository for reinforcement learning techniques used in robotics.

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

reinforcement_learning_in_python

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rl-agents

Implementations of Reinforcement Learning and Planning algorithms

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

rlcode

rllab

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

robust_rl_multi_adversary

We investigate the effect of populations on finding good solutions to the robust MDP

ros

机器人操作系统ROS 语音识别 语义理解 视觉控制 gazebo仿真 雷达建图导航

ros-academy-for-beginners

**大学MOOC《机器人操作系统入门》代码示例 ROS tutorial

ros-academy-for-beginners-book

**大学MOOC---《机器人操作系统入门》讲义

ros-academy-for-beginners-book-melodic

**大学MOOC---《机器人操作系统入门》讲义，升级版本

self-driving-car

This is a model which will run on Carla simulator, My goal was to control the vehicle to follow a race track by navigating through preset waypoints. The vehicle needs to reach these waypoints at certain desired speeds, so both longitudinal and lateral control will be required.

self-driving-cars

Coursera Open Courses from University of Toronto

self-driving-vehicle-control-using-carla

In this project I implement a controller for the CARLA simulator. The goal was to control the vehicle to follow a race track by navigating through preset waypoints (x,y,speed). The vehicle needs to reach these waypoints at certain desired speeds, so both longitudinal and lateral control was required.

slimevolleygym

A simple OpenAI Gym environment for single and multi-agent reinforcement learning

smac

SMAC: The StarCraft Multi-Agent Challenge

smarts

Scalable Multi-Agent RL Training School for Autonomous Driving

social-driving

Design multi-agent environments and simple reward functions such that social driving behavior emerges

spatial-intention-maps

Learning multi-agent robotic mobile manipulation with deep reinforcement learning

spinningup

An educational resource to help anyone learn deep reinforcement learning.

starcraft

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

super-mario-bros-ppo-pytorch

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

tensorflow-course

:satellite: Simple and ready-to-use tutorials for TensorFlow

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

tensorflow-tutorial

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学