257 Open source projects that are alternatives of or similar to pacman-ai

A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python

NEAT for Reinforcement Learning on the OpenAI Gym

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training

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

A java implementation of NEAT(NeuroEvolution of Augmenting Topologies ) from scratch for the generation of evolving artificial neural networks. Only for educational purposes.

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

playing idealized trading games with deep reinforcement learning

Neuroevolution Framework for Tensorflow 2.x focusing on modularity and high-performance. Preimplements NEAT, DeepNEAT, CoDeepNEAT, etc.

A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report18.pdf

Python implementation of the NEAT neuroevolution algorithm

A project on improving Neural Networks performance by using Genetic Algorithms.

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

Master Thesis: Limit order placement with Reinforcement Learning

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

No description or website provided.

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

A life simulation for exploring social dynamics

Rust Neat - NeuroEvolution of Augmenting Topologies

Free Resources For Data Science created by Shubham Kumar

An environment to high-frequency trading agents under reinforcement learning

Reinforcement Learning | tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout

A collection of some of the neat math and physics tricks that I've collected over the last few years.

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

A styled-components implementation of Thoughtbot's Neat

waka waka

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Minimal implementations of reinforcement learning algorithms by Tensorflow

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

ArchI0 : Arch-Based Distros Applications Automatic Installation Script

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

A topology and parameter evolving universal learning network.

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.

No longer maintained, actually usable implementation of NEAT

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

Custom repository manager for ArchLinux pacman

Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network

MOVED TO https://github.com/govau/uikit/

A deep reinforcement learning bot that plays tetris

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

NEAT implementation in Pharo

tensorflow deep RL for driving a rover around

ncurses pacman written in C++

Implementation of q-learning using TensorFlow

Some notebooks

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

Reinforcement Learning program that looks to be able to quickly learn to solve a Rubik's Cube

Cross-distribution system package compiler

pacNEM is a Browser PacMan game with NodeJS, Socket.io, Handlebars and NEM Blockchain

A sample project for getting started with Bourbon and Neat with Gulp

A gym environment for Stuart Armstrong's model of a treacherous turn.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

☔ Deep RL agents with PyTorch☔