9 Best Articles in 2022
bdtechtalks.com
Is DeepMind’s new reinforcement learning system a step toward general AI?
bdtechtalks.com
8 min read · · DeepMind has released a new paper that shows impressive advances in reinforcement learning. How far does it bring us toward general AI? · Shared by 487, including Dr. Sally Eaves #SASExplore #TISummit22, Ronald van Loon @SASsoftware #ExploreSAS, Theodora (Theo) Lau - 劉䂀曼 🌻, Nige Willson, ipfconline #CES2023, Andreas Staub, Brian Ahier, Dr. Marcell Vollmer 🇺🇦 #StaySafe & Carpe Diem, Evan Kirstel the $B2B Techfluencer, Terence Mills, AI, Nicolas Babin #CES2023, Víctor González Pacheco, Jim Marous 💯, Michael Fisher, Ines Bieler, Damien de France 🌍 🕊️🇺🇦, Harold Sinnott #DigitalTransformation
bdtechtalks.com
DeepMind scientists: Reinforcement learning is enough for general AI
bdtechtalks.com
8 min read · · In a new paper, scientists at DeepMind suggest that reward maximization and reinforcement learning are enough to develop artificial general intelligence. · Shared by 266, including Carla Gentry, Matteo Carbone, Albert Ràfols, Iain Brown, PhD, AI, Dr. Sally Eaves #SASExplore #TISummit22, Nicolas Babin #CES2023, Gabriele, Dr. Marcell Vollmer 🇺🇦 #StaySafe & Carpe Diem, Martin Ford, Nige Willson, Dr. Ganapathi Pulipaka 🇺🇸, Brian Ahier, Terence Mills, ipfconline #CES2023, Harold Sinnott #DigitalTransformation, Jansnet, Ronald van Loon @SASsoftware #ExploreSAS, Matthew Turland, Bob E. Hayes
VentureBeat
What is reinforcement learning? How AI trains itself
VentureBeat
7 min read · · Reinforcement learning is the subset of ML by which an algorithm can be programmed to respond to complex environments for optimal results. · Shared by 156, including Jim Marous 💯, Brian Ahier, Ronald van Loon @SASsoftware #ExploreSAS, Theodora (Theo) Lau - 劉䂀曼 🌻, Bob E. Hayes, Harold Sinnott #DigitalTransformation, ipfconline #CES2023, Dr. Sally Eaves #SASExplore #TISummit22, AI, Nicolas Babin #CES2023, Ines Bieler
VentureBeat
Reinforcement learning: The next great AI tech moving from the lab to the real world
VentureBeat
5 min read · · Reinforcement learning (RL) is a powerful type of AI technology that can learn strategies to optimally control large, complex systems. · 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 🌻
VentureBeat
Google releases open source reinforcement learning framework for training AI models
VentureBeat
2 min read · · Google's releasing a reinforcement learning framework that makes it easier to train AI models with cutting-edge techniques. · Shared by 74, including Evan Kirstel the $B2B Techfluencer, 🟣 Antonio Vieira Santos #FutureOfWork #InnoTrans2, Nicolas Berg, Nando 💪🇦🇺🇦🇷, Thomas Telandro
OpenAI
Reinforcement Learning with Prediction-Based Rewards
OpenAI
8 min read · · 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. · Shared by 61, including Matt Shaffer, Nando 💪🇦🇺🇦🇷, Oleg Baskov, Michael Duergner, Chris {he, they}
OpenAI
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
OpenAI
10 min read · · 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) · 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
nervanasys.com
Guest Post (Part I): Demystifying Deep Reinforcement Learning
nervanasys.com
~13 min read · · 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. · Shared by 42, including Leslie D, Marco Unternaehrer, Marck Vaisman, Pete Skomoroch, blinch, Chung Chen, Chintan Shah
Towards Data Science
DeepMind Has Quietly Open Sourced Three New Impressive Reinforcement Learning Frameworks
Towards Data Science
5 min read · · Three new releases that will help researchers streamline the implementation of reinforcement learning programs · Shared by 90, including Jesús Torres 👩💻, Thomas Power, Rick King, Damir Kusar, Ward Plunet, Nico Müller 🇺🇦
Trending
VentureBeat
What is reinforcement learning? How AI trains itself
VentureBeat
7 min read · · Reinforcement learning is the subset of ML by which an algorithm can be programmed to respond to complex environments for optimal results. · Shared by 156, including Jim Marous 💯, Brian Ahier, Ronald van Loon @SASsoftware #ExploreSAS, Theodora (Theo) Lau - 劉䂀曼 🌻, Bob E. Hayes, Harold Sinnott #DigitalTransformation, ipfconline #CES2023, Dr. Sally Eaves #SASExplore #TISummit22, AI, Nicolas Babin #CES2023, Ines Bieler
nature
Discovering faster matrix multiplication algorithms with reinforcement learning
nature
20+ min read · · A reinforcement learning approach based on AlphaZero is used to discover efficient and provably correct algorithms for matrix multiplication, finding faster algorithms for a variety of matrix sizes. · Shared by 42, including Eric Topol, Demis Hassabis, Marcel Salathé, Yann “shalf@mastodon.social” Heurtaux 不停
MARKTECHPOST.COM
Google AI Introduces A Novel Reinforcement Learning (RL) Training Paradigm, ‘ActorQ,’ To Speed Up Actor-Learner Distributed RL…
MARKTECHPOST.COM
3 min read · · Several sequential decision-making challenges, like robotics, gaming, nuclear physics, balloon navigation, etc., have been successfully addressed using deep reinforcement learning. However, despite… · Shared by 8, including Matt Shaffer
spiceworks.com
What Is Reinforcement Learning? Working, Algorithms, and Uses
spiceworks.com
9 min read · · Reinforcement learning is a field of machine learning where a computer agent learns to operate optimally in a dynamic environment. Here’s all you need to know about reinforcement learning and the real… · Shared by 10, including Nicolas Babin #CES2023, Bob E. Hayes, Terence Mills
More like this
flowing.systems
Reinforcement learning, non-Markov environments, and memory
flowing.systems
8 min read · · I recently finished reading a reinforcement learning textbook (by Barto and Sutton), and throughout it I was constantly vexed by one important assumption that underlined all the algorithms: the Markov… · Shared by 68
github.com
dennybritz/reinforcement-learning: Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book…
github.com
· 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
Forbes
Artificial Intelligence: What Is Reinforcement Learning
Forbes
5 min read · · 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 · 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 policy
MIT Technology Review
4 min read · · 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? · Shared by 347, including Gregor B. Rosenauer, Martin Ford, Pip Morris, Nico Müller 🇺🇦, Nicolas Babin #CES2023, Evan Kirstel the $B2B Techfluencer, Helen Yu, Jonathan Kogan, Theodora (Theo) Lau - 劉䂀曼 🌻, Mike Butcher🇬🇧🇪🇺, R.NFT R “Ray” Wang 王瑞光 #SuiteWorld #UIPathForward, John Nosta, Nige Willson, Bob E. Hayes, Jeff Heuer, Marcos, Katja Evertz, Tamara McCleary, Christian Surchi, Matthias Lampe
HackerNoon | Learn Any Technology
Reinforcement Learning: 10 Real Reward & Punishment Applications
HackerNoon | Learn Any Technology
6 min read · · 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… · Shared by 50, including Nicolas Babin #CES2023, Michael Fisher, Terence Mills, ipfconline #CES2023, Dr. Ganapathi Pulipaka 🇺🇸, AI
medium.com
Simple Reinforcement Learning with Tensorflow Part 0: Q-Learning with Tables and Neural Networks
medium.com
8 min read · · For this tutorial in my Reinforcement Learning series, we are going to be exploring a family of RL algorithms called Q-Learning algorithms… · Shared by 25, including Ha Duong, Chung Chen
Data Science Central
Introduction to Various Reinforcement Learning Algorithms
Data Science Central
2 min read · · 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… · Shared by 25, including Yves Mulkers, Dr. Craig Brown, Kirk Borne, Ronald van Loon @SASsoftware #ExploreSAS
github.com
GitHub - janhuenermann/neurojs: A javascript deep learning and reinforcement learning library.
github.com
· neurojs - A javascript deep learning and reinforcement learning library. · Shared by 26, including Jon Thompson, Stephen C Sanders, Kenneth Kalmer, Veronika Lampion, Balda, Waqas Ahmed
alexirpan.com
Deep Reinforcement Learning Doesn't Work Yet
alexirpan.com
20+ min read · · 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: · Shared by 106, including Dayyan Smith, Charlie O'Keefe, Oleg Baskov, Alexander Seifert, Nando 💪🇦🇺🇦🇷, Mark Tabladillo PhD, Ha Duong
Related topics
