652 Open source projects that are alternatives of or similar to Rl_ardrone

Some notebooks

Reinforcement Learning for Portfolio Management

A curated list of Monte Carlo tree search papers with implementations.

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

Stock Trading Bot using Deep Q-Learning

Master Thesis: Limit order placement with Reinforcement Learning

tensorflow deep RL for driving a rover around

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

playing idealized trading games with deep reinforcement learning

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

A life simulation for exploring social dynamics

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Implementation of q-learning using TensorFlow

A universal flight control tuning framework

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

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

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..

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

An environment to high-frequency trading agents under reinforcement learning

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

Free Resources For Data Science created by Shubham Kumar

Arnold - DOOM Agent

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

A gym environment for Stuart Armstrong's model of a treacherous turn.

Tic Tac Toe Machine Learning

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)

A Trading environment base on Gym

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

Some JavaScript works published as demos, mostly ML or DS

Machine learning and data science blog.

Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

PyTorch implementation of Looking Fast and Slow: Memory-Guided Mobile Video Object Detection

Notes and comments about Deep Reinforcement Learning papers

The notes for Math, Machine Learning, Deep Learning and Research papers.

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

The entry point to the MRS UAV system.

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Mission Planner Ground Control Station (c# .net)

A robust UAV local planner based on the ICRA2020 paper: Robust Real-time UAV Replanning Using Guided Gradient-based Optimization and Topological Paths

Minimalistic gridworld package for OpenAI Gym

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

GPU Javascript Library for Machine Learning

MuZero

Reinforcement Learning Workshop for Data Science BKK

Reinforcement Learning in JavaScript

Learning from zero (mostly based off of AlphaZero) in General Game Playing.

DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).