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AI safety needs social scientists

Better language models and their implications

Computational limitations in robust classification and win-win results

OpenAI Fellows Summer 2018: Final projects

How AI training scales

Quantifying generalization in reinforcement learning

Spinning Up in Deep RL

Spinning Up in Deep RL

Learning concepts with energy functions

Plan online, learn offline: Efficient learning and exploration via model-based control

Reinforcement learning with prediction-based rewards

Learning complex goals with iterated amplification

OpenAI Scholars 2019: Applications open

OpenAI Fellows Winter 2019 & Interns Summer 2019

FFJORD: Free-form continuous dynamics for scalable reversible generative models

OpenAI Scholars 2018: Final projects

The International 2018: Results

Large-scale study of curiosity-driven learning

OpenAI Five Benchmark: Results

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