Reinforcement Learning : This project aims at implementing an advanced algorithm called AWAC, Advantage weighted Actor Critic algorithm , which is discussed in \cite{nair2020accelerating} This proj…

🔥🌤🪐《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, pytorch, tensorflow, keras & the most important, from scratch!💪 This repository is ALL You Need!

Python bindings to the pointcloud library (pcl)

A toolkit for reproducible reinforcement learning research

Models and examples built with TensorFlow

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

Simple library to make working with STL files (and 3D objects in general) fast and easy.

MARA, world's first modular industrial robot arm, official repository

PARL A high-performance distributed training framework for Reinforcement Learning （『飞桨』强化学习库 ）

📚 Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Point Cloud Library (PCL)

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Statistical Tests for Algorithms Comparison (STAC) is a new platform for statistical analysis to verify the results obtained from computational intelligence algorithms.

Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

Assignments for CS294-112.

谷歌访问助手破解版

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

Collection of reinforcement learning algorithms

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Imagination Augmented Agents TensorFlow

Zhejiang University Graduation Thesis/Design LaTeX template.

Implementation of Machine Learning Algorithms

Building Agents with Imagination: pytorch step-by-step implementation