1209 Open source projects that are alternatives of or similar to Animalai Olympics

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

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

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

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Guided Policy Search

A small Roguelike game that uses Machine Learning to power its entities. Originally used in talks by Ciro & Alessia.

RAD: Reinforcement Learning with Augmented Data

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

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).

AI trained using Genetic Algorithm and Deep Learning to play the game of snake

An open source framework for research in Embodied-AI from AI2.

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Season 3 of @twosigma's artificial intelligence programming challenge

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

Tensorforce: a TensorFlow library for applied reinforcement learning

An environment to high-frequency trading agents under reinforcement learning

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

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

TensorFlow2 Reinforcement Learning

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

A course in reinforcement learning in the wild

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

AI斗地主

Deep Neuroevolution

Awesome Game AI materials of Multi-Agent Reinforcement Learning

AI research environment for the Atari 2600 games 🤖.

Season 2 of @twosigma's artificial intelligence programming challenge

OpenAI's cartpole env solver.

A life simulation for exploring social dynamics

Remove watermark automatically(Just can use for fixed position watermark till now). 自动水印消除算法的实现（目前只支持固定水印位置）。

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

A fast Evolution Strategy implementation in Python

RLgraph: Modular computation graphs for deep reinforcement learning

DrQ: Data regularized Q

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, SAC-AEA)

A collection of materials to help you learn about deep learning

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

Grokking Deep Reinforcement Learning

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

PyTorch implementation of Trust Region Policy Optimization

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

Multiple implementations for abstractive text summurization , using google colab

PyTorch implementation of soft actor critic

A3C LSTM Atari with Pytorch plus A3G design

Repo for the Deep Reinforcement Learning Nanodegree program

(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

use AI to play some games.

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

A PyTorch library for building deep reinforcement learning agents.

Python library for Reinforcement Learning.

NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager