6682 Open source projects that are alternatives of or similar to Icychesszero

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

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Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed

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

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

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Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

Learning human driver models from NGSIM data with imitation learning.

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

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PyTorch implementation of Soft Actor-Critic (SAC)

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A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

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..

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

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

Solutions of Reinforcement Learning, An Introduction

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

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

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

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

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由淺入深的深度學習資源 Collection of deep learning materials for everyone

60_Days_RL_Challenge中文版

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Tools for using computer algebra systems to solve math problems step-by-step with reinforcement learning

Chess reinforcement learning by AlphaGo Zero methods.

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Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

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