pgkang Goto Github PK
Type: User
Type: User
Minimal and Clean Reinforcement Learning Examples
Python Implementation of Reinforcement Learning: An Introduction
Reinforcement-Learning-for-Decision-Making-in-self-driving-cars
This is a private learning repository for reinforcement learning techniques used in robotics.
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
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
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Implementations of Reinforcement Learning and Planning algorithms
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
We investigate the effect of populations on finding good solutions to the robust MDP
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
**大学MOOC《机器人操作系统入门》代码示例 ROS tutorial
**大学MOOC---《机器人操作系统入门》讲义
**大学MOOC---《机器人操作系统入门》讲义,升级版本
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.
Coursera Open Courses from University of Toronto
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.
A simple OpenAI Gym environment for single and multi-agent reinforcement learning
SMAC: The StarCraft Multi-Agent Challenge
Scalable Multi-Agent RL Training School for Autonomous Driving
Design multi-agent environments and simple reward functions such that social driving behavior emerges
Learning multi-agent robotic mobile manipulation with deep reinforcement learning
An educational resource to help anyone learn deep reinforcement learning.
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
:satellite: Simple and ready-to-use tutorials for TensorFlow
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.