6376 Open source projects that are alternatives of or similar to Rl Movie Recommender

Grokking Deep Reinforcement Learning

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

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PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

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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Reinforcement learning material, code and exercises for Udacity Nanodegree programs.

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Implementation of Meta-RL A3C algorithm

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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..

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Quiz & Assignment of Coursera

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🧑‍🏫 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, ... 🧠

TensorFlow Tutorials with YouTube Videos

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

RAD: Reinforcement Learning with Augmented Data

Machine Learning notebooks for refreshing concepts.

Stock Trading Bot using Deep Q-Learning

Applying Reinforcement Learning in Quantitative Trading

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中国象棋alpha zero程序

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Repository for most of the code from my YouTube channel

Reinforcement Learning for Portfolio Management

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Learning to trade under the reinforcement learning framework

Paper reading notes on Deep Learning and Machine Learning

Quiz & Assignment of Coursera

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

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.

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

Open Machine Learning course at MIPT

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

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

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

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

Some notebooks

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

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

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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.

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

MAGNet: Multi-agents control using Graph Neural Networks