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399 search results found

Sutton Barto Rl Exercises ⭐ 83

📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

Rl Movie Recommender ⭐ 79

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

Machinelearningwithpython ⭐ 79

Get started with Machine Learning with Python - An introduction with Python programming examples

Ngsim_env ⭐ 78

Learning human driver models from NGSIM data with imitation learning.

Deep Variational Reinforcement Learning

Deep Reinforcement Learning For Dynamic Spectrum Access ⭐ 77

Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication

Dockstream ⭐ 76

DockStream: A Docking Wrapper to Enhance De Novo Molecular Design

MAGNet: Multi-agents control using Graph Neural Networks

Reinventcommunity ⭐ 75

De Novo Drug Design with RNNs and Transformers

Rl Course Experiments ⭐ 73

Recommender_system_via_deep_rl ⭐ 73

The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling by Liu et al.

Text2reward ⭐ 70

Code for the paper "Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning"

Rl Workshop ⭐ 69

Reinforcement Learning Workshop for Data Science BKK

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)

Rlassistant ⭐ 66

RLA is a tool for managing your RL experiments automatically

Good_robot ⭐ 66

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

Pytorch Rl ⭐ 64

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

在A股(股票)市场上训练强化学习交易智能体

Reinforcement_learning ⭐ 62

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3

Rlai Exercises ⭐ 58

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

Chess Deep Rl ⭐ 58

Research project: create a chess engine using Deep Reinforcement Learning

Super Mario Bros Rl ⭐ 57

This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros

Reinforcement Learning For Market Making ⭐ 57

Using tabular and deep reinforcement learning methods to infer optimal market making strategies

Learning ⭐ 57

Walkthrough notebooks for Deep Learning, Machine Learning, Reinforcement Learning, Spark, Statistics, Algorithms, Scala, Python

Quantum_computation ⭐ 56

Code for implementing and experimenting with quantum algorithms

Autonomous Drifting ⭐ 56

Autonomous Drifting using Reinforcement Learning

Deeplearning Trader ⭐ 53

backtrader with DRL ( Deep Reinforcement Learning)

Deepassist ⭐ 53

Shared autonomy via deep reinforcement learning

Reinforcement Learning ⭐ 53

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)

Spinning Up A Pong Ai With Deep Rl ⭐ 53

Code for "Spinning Up a Pong AI With Deep RL" on FloydHub.

Reinforcement Learning Distant Supervision Re ⭐ 52

Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning

Velocity_control ⭐ 52

Source code for paper "Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving"

Transformers In Action ⭐ 51

This is the corresponding code for the book Transformers in Action

Rlss 2019 ⭐ 51

Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).

Sklearn Deeprl ⭐ 51

Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.

Aprendizado Por Reforco ⭐ 50

Repositório de Aprendizado por Reforço desenvolvido pelo Turing USP

Deeptutor ⭐ 49

Spaced repetition through deep reinforcement learning

Decisiontransformerinterpretability ⭐ 48

Interpreting how transformers simulate agents performing RL tasks

Vrp Dact ⭐ 47

This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has been accepted at NeurIPS 2021.

Upside Down Reinforcement Learning ⭐ 44

Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

Scimai Gym ⭐ 44

A Python library for addressing the Supply Chain Inventory Management problem through Deep Reinforcement Learning algorithms.

Artificial intelligence aided engineering design.

Artificial Intelligence How_computers_think Master ⭐ 43

Reinforcement learning course at Data Science Retreat

Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks

Pytorch Learn Reinforcement Learning ⭐ 42

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

Ml Bots Surviv.io ⭐ 40

Osim Rl Helper ⭐ 39

Helper for NeurIPS 2018 Challenge: AI for Prosthetics

Udacity Deep Reinforcement Learning ⭐ 39

My solutions to the projects (and mini-projects) of the Deep Reinforcement Learning Nanodegree by Udacity

Kaggle Courses ⭐ 39

Courses on Kaggle

Reinforcement Learning ⭐ 39

Personal experiments on Reinforcement Learning

Deep Reinforcement Learning ⭐ 38

《深度强化学习：原理与实践》，Code of the book <Deep Reinforcement Learning: Principles and Practices>

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

Policy Gradient Methods ⭐ 35

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Hydrogym ⭐ 34

An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.

Chainer Seqgan ⭐ 34

implementation of SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Personalized News Recommendation ⭐ 34

Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset

Easyagents ⭐ 33

Reinforcement Learning for Practitioners.

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

Daydreamer ⭐ 32

DayDreamer: World Models for Physical Robot Learning

Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC

Coursera_reinforcement_learning ⭐ 31

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

Rl Handson Rlvs21 ⭐ 31

Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.

Machine Learning ⭐ 31

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

Reinforcement_learning_based_pid_tuner ⭐ 29

The implemetation of the Reinforcement Learning based PID Tunner.

World Models Sonic Pytorch ⭐ 28

Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed

Birdseye ⭐ 28

The BirdsEye RL/RF project enables localization of mobile radio frequency targets, e.g., drones operators, via commericial off-the-shelf sensors.

Two Step Task ⭐ 28

Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforcement Learn".

Rl_pytorch ⭐ 27

Deep Reinforcement Learning Algorithms Implementation in PyTorch

Reinforcement Learning ⭐ 27

Implementation of various Reinforcement Learning Algorithms

Machine Learning With Scikit Learn Python 3.x ⭐ 27

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This

Reinforcement Learning Explained ⭐ 27

This repository contains the lab files for Microsoft course DAT257x: Reinforcement Learning Explained

Atc Reinforcement Learning ⭐ 27

Reinforcement learning for an air traffic control task. OpenAI gym based simulation.

First Explore ⭐ 26

Repo to reproduce the First-Explore paper results

Meta Reinforcement Learning ⭐ 26

Code snippets of Meta Reinforcement Learning algorithms

Fast Reinforcement Learning ⭐ 26

Important Note fastrl version 2 is being developed at fastrl. Note the link in the readme

Machine Learning Nd Portfolio ⭐ 25

Machine Learning Engineer Nanodegree portfolio, which includes projects and their notebooks/reports.

Reinforcement learning for unit commitment

🔬 Absolutely comfort lab for me to work around with my own AIs and to empirically observe how powerful and impactful these technologies are. I do love these technologies!

Practical_rl ⭐ 24

My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow

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

Automatic_vehicular_control ⭐ 23

[IEEE T-ASE] [IROS 2022] Unified Automatic Control of Vehicular Systems With Reinforcement Learning

Challenge Aido_rl Il ⭐ 23

Reinforcement Learning + Imitation Learning based approach to AI Driving Olympics

Deep Reinforcement Learning Explained ⭐ 22

Mentalrl ⭐ 22

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

Neptune Examples ⭐ 22

Examples of using Neptune to keep track of your experiments (maintenance only).

Reinforcement Learning On Google Colab ⭐ 21

Reinforcement Learning algorithm's using google-colab

Upside Down Reinforcement Learning ⭐ 21

Implementation of Schmidhuber's Upside Down Reinforcement Learning paper in PyTorch

G2rl Path Planning ⭐ 21

Code for G2RL to solve the multi-robot path planning problem in a fully distributed reactive manner.

Dockstreamcommunity ⭐ 21

Reinforcement Learning Experiments using PyBullet

Projects ⭐ 20

Data Science Portfolio

Tutorials ⭐ 19

Machine Learning Tutorials & Fundamentals

Rl Obstacle Avoidance ⭐ 19

LIDAR based Obstacle Avoidance with Reinforcement Learning

Applied Deep Learning (2019 Spring) @ NTU

Rlassistant ⭐ 19

RLA is a tool for managing your RL experiments automatically

Unsupervisedattentionmechanism ⭐ 19

Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".

Relevancytuning ⭐ 19

Dice.com tutorial on using black box optimization algorithms to do relevancy tuning on your Solr Search Engine Configuration from Simon Hughes Dice.com

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