Reinforcement Learning

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9 Best Articles in 2021
bdtechtalks.com
Is DeepMind’s new reinforcement learning system a step toward general AI?bdtechtalks.com
8 min read · Aug 2nd · DeepMind has released a new paper that shows impressive advances in reinforcement learning. How far does it bring us toward general AI?
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 · Jun 7th · In a new paper, scientists at DeepMind suggest that reward maximization and reinforcement learning are enough to develop artificial general intelligence.
science
artificial intelligence
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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 · Mar 28th · Reinforcement learning (RL) is a powerful type of AI technology that can learn strategies to optimally control large, complex systems.
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.
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.
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)
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.
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
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.
reinforcement learning
machine learning
Trending
VentureBeat
New deep reinforcement learning technique helps AI to evolveVentureBeat
6 min read · Oct 28th · A new technique from Stanford researchers creates AI virtual agents that can evolve both in their physical structure and learning capacities.
artificial intelligence
TNW
AI is now learning to evolve like earthly lifeformsTNW
6 min read · Oct 31st · Deep Evolutionary Reinforcement Learning creates virtual agents that can evolve both in their physical structure and learning capacities.
artificial intelligence
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Studying the evolution of life and intelligence is interesting. But replicating it is extremely difficult. An AI system that would want to recreate intelligent life in the same way that evolution did would have to search a very large space of possible morphologies, which is extremely expensive computationally.
Google AI
Permutation-Invariant Neural Networks for Reinforcement LearningGoogle AI
6 min read · Nov 18th · Posted by David Ha, Staff Research Scientist and Yujin Tang, Research Software Engineer, Google Research, Tokyo “The brain is ...
machine learning
artificial intelligence
brain
bdtechtalks.com
Reinforcement learning improves game testing, EA’s AI team findsbdtechtalks.com
7 min read · Oct 4th · Adversarial reinforcement learning can help automate large parts of testing game environments for bugs and playability issues, EA's AI research team finds.
artificial intelligence
Most highlighted
In the past decade, AI research labs have used reinforcement learning to master complicated games. More recently, gaming companies have also become interested in using reinforcement learning and other machine learning techniques in the game development lifecycle.
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
MIT Technology Review
An AI can simulate an economy millions of times to create fairer tax policyMIT Technology Review
4 min read · 2020-05-05 · 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?
artificial intelligence
economy
machine learning
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…
machine learning
reinforcement learning
tensorflow
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:
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.
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…
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…
machine learning
coding
programming
Google AI
Duality — A New Approach to Reinforcement LearningGoogle AI
3 min read · 2020-07-08 · Posted by Ofir Nachum and Bo Dai, Research Scientists, Google Research Reinforcement learning (RL) is an approach commonly used to trai...
google
Google AI
Introducing Google Research Football: A Novel Reinforcement Learning EnvironmentGoogle AI
4 min read · From 2019 · Posted by Karol Kurach, Research Lead and Olivier Bachem, Research Scientist, Google Research, Zürich The goal of reinforcement learning...
reinforcement learning
football
artificial intelligence
Reinforcement Learning

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