6376 Open source projects that are alternatives of or similar to World Models Sonic Pytorch

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

Repository for most of the code from my YouTube channel

Trading with recurrent actor-critic reinforcement learning

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

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

中国象棋alpha zero程序

Stock Trading Bot using Deep Q-Learning

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

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..

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

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

backtrader with DRL ( Deep Reinforcement Learning)

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

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

Deep Reinforcement Learning for de-novo Drug Design

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

DrQ: Data regularized Q

Grokking Deep Reinforcement Learning

🧑‍🏫 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, ... 🧠

Repo for the Deep Reinforcement Learning Nanodegree program

Paper reading notes on Deep Learning and Machine Learning

A course in reinforcement learning in the wild

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

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

Quiz & Assignment of Coursera

PyTorch implementation of Soft Actor-Critic (SAC)

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

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

This is Andrew NG Coursera Handwritten Notes.

Chess reinforcement learning by AlphaGo Zero methods.

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

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

Machine Learning notebooks for refreshing concepts.

A repo for data science related questions and answers

RAD: Reinforcement Learning with Augmented Data

Reinforcement learning with A* and a deep heuristic

Applying Reinforcement Learning in Quantitative Trading

我的强化学习笔记和学习材料📖 still updating ... ...

Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード

Debugging, monitoring and visualization for Python Machine Learning and Data Science

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

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

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

Reinforcement Learning for Portfolio Management

Learning to trade under the reinforcement learning framework

Multiple implementations for abstractive text summurization , using google colab

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

Quiz & Assignment of Coursera

Open Machine Learning course at MIPT

Implementation of Meta-RL A3C algorithm

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

Solutions of Reinforcement Learning, An Introduction

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

Teach a Quadcopter How to Fly!

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

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

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

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