498 Open source projects that are alternatives of or similar to a3c-super-mario-pytorch

Simple Reinforcement Learning Framework

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Computing with Python functions.

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Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

Ridiculously simple flow controller for building complex pipelines

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A curated list of awesome Deep Reinforcement Learning resources.

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

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List of awesome resources for machine learning-based algorithmic trading

Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.

This repo parallelizes mAP_evaluation using python's multiprocessing module.

Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop

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:

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsobh.github.io/Practical-DRL/

Curso de Aprendizaje por Refuerzo, de 0 a 100 con notebooks y slides muy sencillas para entenderlo todo perfectamente.

A collection of materials to help you learn about deep learning

Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.

🛠️一些小工具脚本

With underflow, create trafic light clusters that interact together to regulate circulation

Deep Reinforcement Learning Notes

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

🚀Easy to make the common PHP/Python/js...script change daemon and multi-process execution

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning

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

🌿 Exploring cooperative concurrency primitives in Python

AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）

Automatic GPU, TPU, FPGA, Xeon Phi, Multithreaded, Distributed, etc. offloading for scientific machine learning (SciML) and differential equations

Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow

The SSBM "Phillip" AI.

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Booklet and exam of Artificial Intelligence Master Degree at Amirkabir University of technology.

Awesome RL: Papers, Books, Codes, Benchmarks

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

[ICRA 2021] Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

A vim plugin for running multiple process asynchronously base on neomake.

source code for 'Improving automatic source code summarization via deep reinforcement learning'

Flappy Frog hack using Deep Reinforcement Learning (Deep Q-learning). 暴力膜蛤不可取。

Create low-poly art from any image 🌟🌟

PyTorch implementation of Soft Actor-Critic (SAC)

Implementations of Reinforcement Learning Models in Tensorflow

A course in reinforcement learning in the wild

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🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Repository for codes of 'Deep Reinforcement Learning'

DEEp Reinforcement learning framework