Reinforcement Learning

Discover Refind’s best articles, videos, and resources on Reinforcement Learning. Follow along to get the most relevant new links picked for you.
9 Best Articles in 2022
bdtechtalks.com
Is DeepMind’s new reinforcement learning system a step toward general AI?bdtechtalks.com
8 min read · 2021-08-02 · DeepMind has released a new paper that shows impressive advances in reinforcement learning. How far does it bring us toward general AI?
Reader View · Shared by 487, including Dr. Sally Eaves #TechForGood #GartnerSummitEMEA, Ronald van Loon, Theodora (Theo) Lau - 劉䂀曼 🌻, Nige Willson, ipfconline 🇺🇦, Andreas Staub, Brian Ahier, Dr. Marcell Vollmer 🇺🇦 #StaySafe & Carpe Diem, Evan Kirstel the $B2B Techfluencer, Terence Mills, AI, Nicolas Babin #AmazonPartner, Víctor González Pacheco, Jim Marous 💯, Michael Fisher, Ines Bieler, Damien de France 🌍 🕊️🇺🇦, Harold Sinnott 📱📲
artificial intelligence
machine learning
deep learning
Most highlighted
The key advantage of reinforcement learning is its ability to develop behavior by taking actions and getting feedback, similar to the way humans and animals learn by interacting with their environment
bdtechtalks.com
DeepMind scientists: Reinforcement learning is enough for general AIbdtechtalks.com
8 min read · 2021-06-07 · In a new paper, scientists at DeepMind suggest that reward maximization and reinforcement learning are enough to develop artificial general intelligence.
Reader View · Shared by 255, including Carla Gentry, Matteo Carbone, Albert Ràfols, Iain Brown, PhD, AI, Dr. Sally Eaves #TechForGood #GartnerSummitEMEA, Nicolas Babin #AmazonPartner, Gabriele, Dr. Marcell Vollmer 🇺🇦 #StaySafe & Carpe Diem, Martin Ford, Nige Willson, Dr. Ganapathi Pulipaka 🇺🇸, Brian Ahier, Terence Mills, ipfconline 🇺🇦, Harold Sinnott 📱📲, Jansnet, Ronald van Loon, Matthew Turland, Bob E. Hayes
science
artificial intelligence
Most highlighted
intelligence and its associated abilities will emerge not from formulating and solving complicated problems but by sticking to a simple but powerful principle: reward maximization.
VentureBeat
Reinforcement learning: The next great AI tech moving from the lab to the real worldVentureBeat
5 min read · 2021-03-28 · Reinforcement learning (RL) is a powerful type of AI technology that can learn strategies to optimally control large, complex systems.
Reader View · Shared by 108, including Kevin Marks, Cyril Coste 🥇#DigitalTransformation, Carla Gentry, Brian Laung Aoaeh, CFA, Dr. Ganapathi Pulipaka 🇺🇸, Howard Getson, MARKTECHPOST.COM, Theodora (Theo) Lau - 劉䂀曼 🌻
technology
VentureBeat
Google releases open source reinforcement learning framework for training AI modelsVentureBeat
2 min read · From 2018 · Google's releasing a reinforcement learning framework that makes it easier to train AI models with cutting-edge techniques.
Reader View · Shared by 74, including Evan Kirstel the $B2B Techfluencer, 🟣 Antonio Vieira Santos #FutureOfWork, Nicolas Berg, Nando 💪🇦🇺🇦🇷, Thomas Telandro
artificial intelligence
reinforcement learning
OpenAI
Reinforcement Learning with Prediction-Based RewardsOpenAI
8 min read · From 2018 · We’ve developed Random Network Distillation (RND), a prediction-based method for encouraging reinforcement learning agents to explore their environments through curiosity, which for the first time exceeds average human performance on Montezuma’s Revenge.
Reader View · Shared by 61, including Matt Shaffer, Nando 💪🇦🇺🇦🇷, Oleg Baskov, Michael Duergner, Chris {he, they}
reinforcement learning
machine learning
OpenAI
Evolution Strategies as a Scalable Alternative to Reinforcement LearningOpenAI
10 min read · From 2017 · We've discovered that evolution strategies (ES), an optimization technique that's been known for decades, rivals the performance of standard reinforcement learning (RL) techniques on modern RL benchmarks (e.g. Atari/MuJoCo), while overcoming many of RL's inconveniences. In particular, ES is simpler to implement (there is no need for backpropagation)
Reader View · Shared by 66, including Ward Plunet, Chung Chen, Jesús Torres 👩‍💻, Oleg Baskov, Charlie O'Keefe, Veronika Lampion, Ha Duong, Claudio Noguera, Tom Connor, Marco Unternaehrer, Philip Junker
machine learning
dl
rl
nervanasys.com
Guest Post (Part I): Demystifying Deep Reinforcement Learningnervanasys.com
~13 min read · From 2016 · This blog was first published at: http://neuro.cs.ut.ee/demystifying-deep-reinforcement-learning/     This is the part 1 of my series on deep reinforcement learning. Tune in next week for “Deep Reinforcement Learning with Neon” for an actual implementation with Neon deep learning toolkit.
Reader View · Shared by 42, including Leslie D, Marco Unternaehrer, Marck Vaisman, Pete Skomoroch, blinch, Chung Chen, Chintan Shah
drl
reinforcement learning
Towards Data Science
DeepMind Has Quietly Open Sourced Three New Impressive Reinforcement Learning FrameworksTowards Data Science
5 min read · From 2019 · Three new releases that will help researchers streamline the implementation of reinforcement learning programs
Reader View · Shared by 90, including Jesús Torres 👩‍💻, Thomas Power, Rick King, Damir Kusar, Ward Plunet, Nico Müller 🇺🇦
machine learning
open source
drl
github.com
dennybritz/reinforcement-learning: Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book…github.com
From 2016 · reinforcement-learning - Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Shared by 25, including Vikram Dutt, Dr. Ganapathi Pulipaka 🇺🇸, Chung Chen, Marco Unternaehrer, Jesús Torres 👩‍💻, Nico Müller 🇺🇦, Thomas Spreng
reinforcement learning
machine learning
Trending
github.com
GitHub - rlberry-py/rlberry: An easy-to-use reinforcement learning library for research and education.github.com
Apr 4th · An easy-to-use reinforcement learning library for research and education. - GitHub - rlberry-py/rlberry: An easy-to-use reinforcement learning library for research and education.
Shared by 7, including Matt Shaffer
Google AI
Efficiently Initializing Reinforcement Learning With Prior PoliciesGoogle AI
5 min read · Apr 6th · Posted by Ikechukwu Uchendu, AI Resident and Ted Xiao, Software Engineer, Robotics at Google Reinforcement learning (RL) can be used to ...
Reader View · Shared by 7, including Carla Gentry
github.com
GitHub - StateOfTheArt-quant/rebels: rebels is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning…github.com
Apr 14th · rebels is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinforcement learning) in the context of quantitative trading. wr...
Shared by 5, including Matt Shaffer
github.com
Deep Reinforcement Learning Algorithmsgithub.com
Apr 19th · This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are...
Shared by 6, including Matt Shaffer
More like this
Forbes
Artificial Intelligence: What Is Reinforcement LearningForbes
5 min read · From 2018 · Reinforcement learning is another variation of machine learning that is made possible because AI technologies are maturing leveraging the vast amounts of data we create every day. This simple guide provides a definition of reinforcement learning and gives eight practical use cases of this technology
Reader View · Shared by 50, including Michael Duergner, Tom Connor, Oliver Ewinger, Howard Getson
MIT Technology Review
An AI can simulate an economy millions of times to create fairer tax policyMIT Technology Review
4 min read · From 2020 · Deep reinforcement learning has trained AIs to beat humans at complex games like Go and StarCraft. Could it also do a better job at running the economy?
Reader View · Shared by 325, including Gregor B. Rosenauer, Martin Ford, Pip Morris, Nico Müller 🇺🇦, Nicolas Babin #AmazonPartner, Evan Kirstel the $B2B Techfluencer, Bob E. Hayes, Jonathan Kogan, Theodora (Theo) Lau - 劉䂀曼 🌻, Mike Butcher🇬🇧🇪🇺🇦🇺, @wef @davos #wef22 R “Ray” Wang 王瑞光 #1A Metaverse, John Nosta, Nige Willson, Helen Yu, Jeff Heuer, Marcos, Katja Evertz, Tamara McCleary, Christian Surchi, Matthias Lampe
artificial intelligence
economy
machine learning
HackerNoon | Will NOT Insert LINKS in HN stories
Reinforcement Learning: 10 Real Reward & Punishment ApplicationsHackerNoon | Will NOT Insert LINKS in HN stories
6 min read · 2020-11-05 · In Reinforcement Learning (RL), agents are trained on a reward and punishment mechanism. The agent is rewarded for correct moves and punished for the wrong ones. In doing so, the agent tries to…
Reader View · Shared by 50, including Nicolas Babin #AmazonPartner, Michael Fisher, Terence Mills, ipfconline 🇺🇦, Dr. Ganapathi Pulipaka 🇺🇸, AI
medium.com
Simple Reinforcement Learning with Tensorflow Part 0: Q-Learning with Tables and Neural Networksmedium.com
8 min read · From 2017 · For this tutorial in my Reinforcement Learning series, we are going to be exploring a family of RL algorithms called Q-Learning algorithms…
Reader View · Shared by 25, including Ha Duong, Chung Chen
machine learning
reinforcement learning
tensorflow
Data Science Central
Introduction to Various Reinforcement Learning AlgorithmsData Science Central
2 min read · From 2019 · This article was written by Steeve Huang. Reinforcement Learning (RL) refers to a kind of Machine Learning method in which the agent receives a delayed rewar…
Reader View · Shared by 25, including Dr. Craig Brown, Yves Mulkers, Kirk Borne, Ronald van Loon
machine learning
reinforcement learning
alexirpan.com
Deep Reinforcement Learning Doesn't Work Yetalexirpan.com
20+ min read · From 2018 · June 24, 2018 note: If you want to cite an example from the post, please cite the paper which that example came from. If you want to cite the post as a whole, you can use the following BibTeX:
Reader View · Shared by 106, including Dayyan Smith, Charlie O'Keefe, Oleg Baskov, Alexander Seifert, Nando 💪🇦🇺🇦🇷, Mark Tabladillo PhD, Ha Duong
reinforcement learning
machine learning
github.com
GitHub - janhuenermann/neurojs: A javascript deep learning and reinforcement learning library.github.com
From 2017 · neurojs - A javascript deep learning and reinforcement learning library.
Shared by 26, including Jon Thompson, Stephen C Sanders, Kenneth Kalmer, Waqas Ahmed, Balda, Veronika Lampion
javascript
deep learning
reinforcement learning
amid.fish
Lessons Learned Reproducing a Deep Reinforcement Learning Paperamid.fish
~20 min read · From 2018 · There are a lot of neat things going on in deep reinforcement learning. One of the coolest things from last year was OpenAI and DeepMind’s work on training an agent using feedback from a human rather…
Reader View · Shared by 28, including Alexander Seifert, Matt Shaffer, AlgoCompSynth by znmeb
machine learning
reinforcement learning
wildml.com
Learning Reinforcement Learning (with Code, Exercises and Solutions)wildml.com
3 min read · From 2016 · Skip all the talk and go directly to the Github Repo with code and exercises. Why Study Reinforcement Learning Reinforcement Learning is one of the fields I’m most excited about. Over the pas…
Reader View · Shared by 38, including Chung Chen, Jon Thompson, Thomas Spreng, Philipp Laurim, Veronika Lampion
machine learning
coding
programming
Reinforcement Learning

9 Best Articles in 2022

Trending

More like this

Get smarter every day

Get smarter every day
