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Stochastic Neural Networks for hierarchical reinforcement learning
Stochastic Neural Networks for hierarchical reinforcement learning. OpenAI ChatGPT - artificial intelligence…
Unsupervised sentiment neuron
We’ve developed an unsupervised system which learns an excellent representation of sentiment, despite being…
Spam detection in the physical world
We’ve created the world’s first Spam-detecting AI trained entirely in simulation and deployed on a…
Evolution strategies as a scalable alternative to reinforcement learning
We’ve discovered that evolution strategies (ES), an optimization technique that’s been known for decades,…
One-shot imitation learning
One-shot imitation learning. OpenAI ChatGPT - artificial intelligence news.
Learning to communicate
Learning to communicate. OpenAI ChatGPT - artificial intelligence news.
Emergence of grounded compositional language in multi-agent populations
Emergence of grounded compositional language in multi-agent populations. OpenAI ChatGPT - artificial…
Prediction and control with temporal segment models
Prediction and control with temporal segment models. OpenAI ChatGPT - artificial intelligence news.
Third-person imitation learning
Third-person imitation learning. OpenAI ChatGPT - artificial intelligence news.
Attacking machine learning with adversarial examples
Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to…
Adversarial attacks on neural network policies
Adversarial attacks on neural network policies. OpenAI ChatGPT - artificial intelligence news.
Team update
The OpenAI team is now 45 people. Together, we’re pushing the frontier of AI capabilities—whether by…
PixelCNN++: Improving the PixelCNN with discretized logistic mixture likelihood and other modifications
PixelCNN++: Improving the PixelCNN with discretized logistic mixture likelihood and other modifications.…
Faulty reward functions in the wild
Reinforcement learning algorithms can break in surprising, counterintuitive ways. In this post we’ll…
#Exploration: A study of count-based exploration for deep reinforcement learning
#Exploration: A study of count-based exploration for deep reinforcement learning. OpenAI ChatGPT - artificial…
On the quantitative analysis of decoder-based generative models
On the quantitative analysis of decoder-based generative models. OpenAI ChatGPT - artificial intelligence…
A connection between generative adversarial networks, inverse reinforcement learning, and energy-based models
A connection between generative adversarial networks, inverse reinforcement learning, and energy-based…
RL²: Fast reinforcement learning via slow reinforcement learning
RL²: Fast reinforcement learning via slow reinforcement learning. OpenAI ChatGPT - artificial intelligence…
Variational lossy autoencoder
Variational lossy autoencoder. OpenAI ChatGPT - artificial intelligence news.
Extensions and limitations of the neural GPU
Extensions and limitations of the neural GPU. OpenAI ChatGPT - artificial intelligence news.
Semi-supervised knowledge transfer for deep learning from private training data
Semi-supervised knowledge transfer for deep learning from private training data. OpenAI ChatGPT - artificial…
Report from the self-organizing conference
Last week we hosted over a hundred and fifty AI practitioners in our offices for our first self-organizing…
Transfer from simulation to real world through learning deep inverse dynamics model
Transfer from simulation to real world through learning deep inverse dynamics model. OpenAI ChatGPT -…
Infrastructure for deep learning
Deep learning is an empirical science, and the quality of a group’s infrastructure is a multiplier on…