62 Open source projects that are alternatives of or similar to marley

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

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

Master Thesis: Limit order placement with Reinforcement Learning

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

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

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 curated list of Monte Carlo tree search papers with implementations.

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

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

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

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

An RL implementation in Keras

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

DEEp Reinforcement learning framework

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.

Play Google Chrome's T-rex game with TensorFlow

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

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

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

CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

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

Implementation of q-learning using TensorFlow

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

Reinforcement Learning Demos

An environment to high-frequency trading agents under reinforcement learning

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

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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

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

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

Arnold - DOOM Agent

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

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..

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

Reinforcement Learning for Portfolio Management

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

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

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

Stock Trading Bot using Deep Q-Learning

A deep reinforcement learning bot that plays tetris

Reinforcement Learning at UCLA IPAM RIPS 2018

A life simulation for exploring social dynamics

A Reinforcement Learning Library for C++11/14

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

Demo project using tabular Q-learning algorithm

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

arxiv.org/abs/1803.07482

tensorflow deep RL for driving a rover around

High frequency AI based algorithmic trading module.

Free Resources For Data Science created by Shubham Kumar

Some notebooks

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

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

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

playing idealized trading games with deep reinforcement learning

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