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New release

A connection between generative adversarial networks, inverse reinforcement learning, and energy-based models

OpenAI News · 1 min read

New release

RL²: Fast reinforcement learning via slow reinforcement learning

OpenAI News · 1 min read

New release

Variational lossy autoencoder

OpenAI News · 1 min read

New release

Extensions and limitations of the neural GPU

OpenAI News · 1 min read

New release

Semi-supervised knowledge transfer for deep learning from private training data

OpenAI News · 1 min read

New release

Report from the self-organizing conference

OpenAI News · 1 min read

New release

Team update

OpenAI News · 1 min read

New release

Generative models

OpenAI News · 1 min read

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News

Robots that learn

Equivalence between policy gradients and soft Q-learning

Stochastic Neural Networks for hierarchical reinforcement learning

Unsupervised sentiment neuron

Spam detection in the physical world

Evolution strategies as a scalable alternative to reinforcement learning

One-shot imitation learning

Distill

Learning to communicate

Emergence of grounded compositional language in multi-agent populations

Prediction and control with temporal segment models

Third-person imitation learning

Attacking machine learning with adversarial examples

Adversarial attacks on neural network policies

Team update

OpenAI and Microsoft

A connection between generative adversarial networks, inverse reinforcement learning, and energy-based models

RL²: Fast reinforcement learning via slow reinforcement learning

Variational lossy autoencoder

Extensions and limitations of the neural GPU

Semi-supervised knowledge transfer for deep learning from private training data

Report from the self-organizing conference

Team update

Generative models