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-baihuarl_pytorch

Pytorch for Deep Reinforcement Learning

ai-job-notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

baihuarl-tensorflow2.0-tensorlayer

baihuarl_pytorch_notes

白话强化学习与PyTorch的学习笔记

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

battery_soc_estimation

Battery state of charge estimation using kalman filter in Matlab

calce

锂电池数据集 CALCE

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

control-and-system-book

textbook about control, robotics, system

cpo

Constrained Policy Optimization

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

drl

Deep Reinforcement Learning

drl_robot-arm

This is a project about robotic manipulation motion planning using deep reinforcement learning based on ROS and Gazebo simulation

easymcm

A simple LaTeX package for Mathematical Contest in Modeling (MCM)

facial-recognition-project-gdut

grid-world_multi-agent

David Silver Course cases. Basic and extensiable grid world environment.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

kaggle_house_prices_transformer_pytorch

A light-weight transformer model for Kaggle House Prices Regression Competition

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

multi-agent-system-with-reinforcement-learning

implementations for MAS with RL

nasa

Analysis for NASA data sets

reinforcemenglearningpractice

Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

rl_matlab

Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.

rlenv_puck-world

RL environment puckworld based on OpenAI Gym.

self-driving-cars

Coursera Open Courses from University of Toronto

solutions-of-reinforcement-learning-an-introduction-sutton-2nd

Solutions for Reinforcement Learning, An Introduction

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

tensorlayer

Deep Learning and Reinforcement Learning Library for Scientists 🔥