1506 Open source projects that are alternatives of or similar to Awesome Real World Rl

A scientific software for the numerical simulation of seismic wave phenomena and earthquake dynamics

GridCal, a cross-platform power systems solver written in Python with user interface and embedded python console

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

A simple, cross-platform GUI automation module for Rust.

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

SkiffOS: lightweight & robust cross-compiled Linux distribution optimized for hosting containers.

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

pytorch implementation of Optimization as a Model for Few-shot Learning

Artificial Intelligence Learning Notes.

This project was moved to: https://github.com/coax-dev/coax

🧑‍🏫 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, ... 🧠

An OpenAI gym wrapper for CARLA simulator

A general-purpose probabilistic programming system with programmable inference

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

Clone of OpenAI's Spinning Up in PyTorch

A list of recent papers about Meta / few-shot learning methods applied in NLP areas.

A PyTorch implementation of Rainbow DQN agent

Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots

A polyvalent C++ FEM library

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

Schematic capture and circuit simulator

Code snippets for ROS2

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Julia code for the book Reinforcement Learning An Introduction

Testbed for deep reinforcement learning

A framework for analysing financial products in personalized contexts

An extensible framework for high-performance geostatistics in Julia

C51-DDQN in Keras

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

The Python Toolbox for Robotics

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models

IROS2019 paper list from PaopaoRobot

Pytorch implementation of MirrorGAN

Gaussian Process Motion Planner 2

Reinforcement learning models in ViZDoom environment

A classified list of meta learning papers based on realm.

Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.

Network Diffusion Library - (for NetworkX and iGraph)

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

RAFCON (RMC advanced flow control) uses hierarchical state machines, featuring concurrent state execution, to represent robot programs. It ships with a graphical user interface supporting the creation of state machines and contains IDE like debugging mechanisms. Alternatively, state machines can programmatically be generated using RAFCON's API.

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

Master Thesis: Limit order placement with Reinforcement Learning

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

Using RGB Image as Visual Input for Mapless Robot Navigation

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Live Hardware Development (LiveHD), a productive infrastructure for Synthesis and Simulation

Deep Learning and deep reinforcement learning research papers and some codes

Chess reinforcement learning by AlphaGo Zero methods.

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).

zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of time and space efficiency that is well beyond any of the mainstream stacks.

A real time optical flow algorithm implemented on GPU

Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017

A framework for hydrodynamics explorations and prototyping

Python ROS Bridge library

self-studying the Sutton & Barto the hard way

A Multi-Scale Model for Simulating Liquid-Hair Interactions