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overleaf-textarea

This plugin displays your tex source in a textarea so plugins like grammarly can check it.

pai

Resource scheduling and cluster management for AI

pso

粒子群算法(PSO)的Python实现（求解多元函数的极值）

pytorch-maddpg

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

pytorch-madrl

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

reinforcement-learning

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

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-an-introduction-chinese

《Reinforcement Learning: An Introduction》（第二版）中文翻译

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rl-book

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

rlcode

rlkit

Collection of reinforcement learning algorithms

sac-continuous-pytorch

a clean and robust Pytorch implementation of SAC on continuous action space

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

spinningup

An educational resource to help anyone learn deep reinforcement learning.

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等