816 Open source projects that are alternatives of or similar to Rl Cheatsheet

Carefully curated resource links for data science in one place

Reinforcement Learning Cheat Sheet

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

Accelerated deep learning R&D

CTF Cheatsheet

Framework for Multi-Agent Deep Reinforcement Learning in Poker

A fast Evolution Strategy implementation in Python

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

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

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Machine Learning notebooks for refreshing concepts.

Collection of the cheat sheets useful for pentesting

Input Convex Neural Networks

playing idealized trading games with deep reinforcement learning

Deep Learning and deep reinforcement learning research papers and some codes

我的强化学习笔记和学习材料📖 still updating ... ...

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)

Collection of ES6 goodies for next-level dev 🤓💻

A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

Meandering In Networks of Entities to Reach Verisimilar Answers

Some examples on how to achieve the same goal with either of both libraries: sinon and jest. Also some of those goals achievable only by one of these tools.

Summaries of the papers that are discussed by VLG.

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉

ns3-gym - The Playground for Reinforcement Learning in Networking Research

Must-read papers on knowledge graph reasoning

Reinforcement Learning in Go

Matplotlib 3.1 cheat sheet.

Framework and OpenAI Gym Environment for Autonomous Vehicle Development

Reinforcement learning with A* and a deep heuristic

Classic papers and resources on recommendation

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

PyTorch Implementation of REINFORCE for both discrete & continuous control

🔥 Collection of command-line debugging cheatsheets for multiple languages and runtimes

A universal flight control tuning framework

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Guide, reference and cheatsheet on web scraping using rvest, httr and Rselenium.

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

中国象棋alpha zero程序

A collection of multi agent environments based on OpenAI gym.

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

Build environment and train a robot arm from scratch (Reinforcement Learning)

An environment to high-frequency trading agents under reinforcement learning

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

Code for the paper "Evolved Policy Gradients"

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

Unreal environments for reinforcement learning

Список ресурсов по Angular на русском

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

A student implementation of Alpha Go Zero

Helping junior developers navigate the complex world of software engineering without experiencing information overload.

Bayesian Reinforcement Learning in Tensorflow

Deep Reinforcement Learning for de-novo Drug Design

Implementations of Reinforcement Learning and Planning algorithms

ZIO Cheat Sheet

Mobile penetration testing android & iOS command cheatsheet

Some notes and examples for cobalt strike's functionality

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch