322 Open source projects that are alternatives of or similar to Spinning Up Basic

[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

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A collection of materials to help you learn about deep learning

MuZero

PyTorch Implementation of Trust Region Policy Optimization (TRPO)

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A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

Artificial intelligence for the Snake game.

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Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

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Pytorch Implementation of MuZero

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FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Deep Reinforcement Learning (DRL) agents applied to medical images

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)

💡 Repo of learning notes in DRL and DL, theory, codes, models and notes maybe.

Resources, papers, tutorials

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PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

An advanced program in Machine Learning and Deep Learning

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

🤖 Implements of Reinforcement Learning algorithms.

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Top 200 deep learning Github repositories sorted by the number of stars.

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Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

Teach a Quadcopter How to Fly!

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

Deep reinforcement learning for recommendation system

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

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

Goal-Oriented Chatbot trained with Deep Reinforcement Learning

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

CSCI 599 deep learning and its applications final project

Imitation learning algorithms

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

Explore and find reinforcement learning environments in a list of 150+ open source environments.

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

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Code for "Gradient Surgery for Multi-Task Learning"

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

A deep reinforcement learning bot that plays tetris

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Unity Machine Learning Agents Toolkit

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Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

深度学习论文阅读路线图

Reinforcement learning with tensorflow 2 keras

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