1153 Open source projects that are alternatives of or similar to Doom Net Pytorch

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

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

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

Minimalistic gridworld package for OpenAI Gym

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

OpenNARS for Research 3.0+

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

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

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.

Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

No description or website provided.

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

A simple framework for experimenting with Reinforcement Learning in Python.

A PyTorch library for building deep reinforcement learning agents.

Arnold - DOOM Agent

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Our NIPS 2017: Learning to Run source code

Repo for the Deep Reinforcement Learning Nanodegree program

ROS 2 enabled Machine Learning algorithms

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

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

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

A PyTorch Library for Reinforcement Learning Research

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Reinforcement learning tutorials

RLgraph: Modular computation graphs for deep reinforcement learning

RAD: Reinforcement Learning with Augmented Data

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

A curated list of Monte Carlo tree search papers with implementations.

PyTorch C++ Reinforcement Learning

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

Implementing reinforcement-learning algorithms for pysc2 -environment

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

A tool to describe the content of videos and suggest similar scenes in other videos/films.

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

"Coding further" is made for my students who graduated from Le Wagon coding bootcamp and are just now exploring the world of programming.

📚Curated list of articles, web-resources, tutorials and code repositories that may help you dig a little bit deeper into iOS [and Apple Platforms].

outis is a custom Remote Administration Tool (RAT) or something like that. It was build to support various transport methods (like DNS) and platforms (like Powershell).

OpenAI's cartpole env solver.

486 lines of C++: old-school FPS in a weekend

自己随手记录的东西

An example and guide to getting started with Jekyll and static site generators.

Little bit of Elixir in every new tab

Highly Modular and Scalable Reinforcement Learning

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

Using RGB Image as Visual Input for Mapless Robot Navigation