1309 Open source projects that are alternatives of or similar to Awesome Monte Carlo Tree Search Papers

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

A PyTorch Library for Reinforcement Learning Research

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..

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

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

An environment to high-frequency trading agents under reinforcement learning

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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

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

AI research environment for the Atari 2600 games 🤖.

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

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

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.

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

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

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

Machine Learning notebooks for refreshing concepts.

Reinforcement learning with A* and a deep heuristic

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

playing idealized trading games with deep reinforcement learning

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

A life simulation for exploring social dynamics

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Reinforcement Learning for Portfolio Management

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

AIXIjs - General Reinforcement Learning in the Browser

Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Structural implementation of RL key algorithms

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

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

A universal flight control tuning framework

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

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

Free Resources For Data Science created by Shubham Kumar

Minimal and Clean Reinforcement Learning Examples

ROS 2 enabled Machine Learning algorithms

Reinforcement learning models in ViZDoom environment

Makine Öğrenmesi Türkçe Kaynak

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Reinforcement Learning at UCLA IPAM RIPS 2018

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

RAD: Reinforcement Learning with Augmented Data

OpenNARS for Research 3.0+

DrQ: Data regularized Q

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

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

Stock Trading Bot using Deep Q-Learning

Multiple implementations for abstractive text summurization , using google colab

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.