65 Open source projects that are alternatives of or similar to Chrome-Dino-Reinforcement-Learning

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

DEEp Reinforcement learning framework

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

Implementation of q-learning using TensorFlow

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília

Play Google Chrome's T-rex game with TensorFlow

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.

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes

A Chrome T-Rex game remake using javascript and threejs. Online demo: https://rossning92.github.io/t-rex

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

PyTorch implementation of the implicit Q-learning algorithm (IQL)

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

playing idealized trading games with deep reinforcement learning

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

Recreation of everyone's favorite offline companion, google chrome dinosaur game, with the same classic monochrome interface.

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

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.

A deep learning library to provide algs in pure Numpy or Tensorflow.

Operations Research Application Project - Flow Shop Scheduling Based On Reinforcement Learning Algorithm

Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.

Master Thesis: Limit order placement with Reinforcement Learning

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

Demo project using tabular Q-learning algorithm

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

tensorflow deep RL for driving a rover around

Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".

Some notebooks

A life simulation for exploring social dynamics

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

A framework for multi-agent reinforcement learning.

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

Free Resources For Data Science created by Shubham Kumar

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

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

An environment to high-frequency trading agents under reinforcement learning

Arnold - DOOM Agent

Reinforcement Learning in Vrep

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

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

Reinforcement Learning for Portfolio Management

🐍 AI that learns to play Snake using Q-Learning (Reinforcement Learning)

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

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

Stock Trading Bot using Deep Q-Learning

A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

Reinforcement Learning at UCLA IPAM RIPS 2018

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 Reinforcement Learning Library for C++11/14

A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning

A deep reinforcement learning bot that plays tetris

Reinforcement Learning Demos

Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic

Train a tic-tac-toe agent using reinforcement learning.

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

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