702 Open source projects that are alternatives of or similar to Gym Unrealcv

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

Seoul AI Gym is a toolkit for developing AI algorithms.

🔬 A curated list of awesome machine learning strategies & tools in financial market.

🤖 Implements of Reinforcement Learning algorithms.

OpenAI Gym environments using DART

A PyTorch implementation of Rainbow DQN agent

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

Direct Future Prediction (DFP ) in Keras

This program evolves an AI using the NEAT algorithm to play Super Mario Bros.

Resources on various topics being worked on at IvLabs

Deep Reinforcement Learning (DRL) agents applied to medical images

Third-person Action Roguelike made in Unreal Engine C++ (for Stanford CS193U 2020)

강화학습에 대한 기본적인 알고리즘 구현

Flappy Bird hack using Reinforcement Learning

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

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

A framework using TensorFlow.js for Deep Reinforcement Learning

A learning environment for man-made Interactive Fiction games.

Simulation of spiking neural networks (SNNs) using PyTorch.

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

Codebase for the Summary Loop paper at ACL2020

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

ChainerRL is a deep reinforcement learning library built on top of Chainer.

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

backtrader with DRL ( Deep Reinforcement Learning)

Q-Learning Based Cryptocurrency Trader and Portfolio Optimizer for the Poloniex Exchange

Cornell Instruction Following Framework

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

tensorflow deep RL for driving a rover around

A decompiler library for Unreal packages such as .upk and .u files, supporting Unreal Engine 1, 2, and 3.

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

Unreal Engine 4 plugin component for rendering runtime generated content.

Connecting Torch to StarCraft

Convert sc2 environment to gym-atari and play some mini-games

An End-To-End, Lightweight and Flexible Platform for Game Research

Aim — a super-easy way to record, search and compare 1000s of ML training runs

Initiative to read research papers

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

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

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Learning human driver models from NGSIM data with imitation learning.

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

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

Reinforcement Learning and Transfer Learning based StarCraft Micromanagement

Quiz & Assignment of Coursera

A repo for data science related questions and answers

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

Reinforcement learning environments for Torch7

Scalable, event-driven, deep-learning-friendly backtesting library

Collection of stats, modeling, and data science tools in Python and R.

Learning from zero (mostly based off of AlphaZero) in General Game Playing.

A simple framework for experimenting with Reinforcement Learning in Python.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

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

Carefully curated resource links for data science in one place

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation