10+ Best Articles on Reinforcement Learning
The most useful articles on reinforcement learning from around the web—beginners to advanced—curated by thought leaders and our community. We focus on timeless pieces and update the list whenever we discover new, must-read articles or videos—make sure to bookmark and revisit this page.
Top 5 Reinforcement Learning Articles
At a glance: these are the articles that have been most read, shared, and saved on reinforcement learning by Refind users in 2023.
- Is DeepMind’s new reinforcement learning system a step toward general AI?
- Discovering faster matrix multiplication algorithms with reinforcement learning
- RLHF: Reinforcement Learning from Human Feedback
- Faster sorting algorithms discovered using deep reinforcement learning
- DeepMind scientists: Reinforcement learning is enough for general AI
What is ...?
New to #reinforcement learning? These articles make an excellent introduction.
What is reinforcement learning? How AI trains itself
Reinforcement learning is the subset of ML by which an algorithm can be programmed to respond to complex environments for optimal results.
Introduction to Various Reinforcement Learning Algorithms
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…
Short Articles
Short on time? Check out these useful short articles on reinforcement learning—all under 10 minutes.
Is DeepMind’s new reinforcement learning system a step toward general AI?
DeepMind has released a new paper that shows impressive advances in reinforcement learning. How far does it bring us toward general AI?
«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»
DeepMind scientists: Reinforcement learning is enough for general AI
In a new paper, scientists at DeepMind suggest that reward maximization and reinforcement learning are enough to develop artificial general intelligence.
«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.»
Introducing Google Research Football: A Novel Reinforcement Learning Environment
Posted by Karol Kurach, Research Lead and Olivier Bachem, Research Scientist, Google Research, Zürich The goal of reinforcement learning...
Reinforcement Learning with Prediction-Based Rewards
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.
Google releases open source reinforcement learning framework for training AI models
Google's releasing a reinforcement learning framework that makes it easier to train AI models with cutting-edge techniques.
Long Articles
These are some of the most-read long-form articles on reinforcement learning.
Reinforcement Learning 101
Learn the essentials of Reinforcement Learning!
RLHF: Reinforcement Learning from Human Feedback
A narrative that is often glossed over in the demo frenzy is about the incredible technical creativity that went into making models like ChatGPT work. One such cool idea is RLHF: incorporating…
Discovering faster matrix multiplication algorithms with reinforcement learning
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.
Faster sorting algorithms discovered using deep reinforcement learning
Artificial intelligence goes beyond the current state of the art by discovering unknown, faster sorting algorithms as a single-player game using a deep reinforcement learning agent. These algorithms…
Reinforcement Learning from scratch
Inspired by a great tutorial at O’Reilly AI
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