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OpenAI Five

OpenAI Five

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Retro Contest: Results

Retro Contest: Results

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Learning policy representations in multiagent systems

Learning policy representations in multiagent syst...

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Improving language understanding with unsupervised learning

Improving language understanding with unsupervised...

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GamePad: A learning environment for theorem proving

GamePad: A learning environment for theorem provin...

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OpenAI Fellows Fall 2018

OpenAI Fellows Fall 2018

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Gym Retro

Gym Retro

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AI and compute

AI and compute

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AI safety via debate

AI safety via debate

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Evolved Policy Gradients

Evolved Policy Gradients

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Gotta Learn Fast: A new benchmark for generalization in RL

Gotta Learn Fast: A new benchmark for generalizati...

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Retro Contest

Retro Contest

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Variance reduction for policy gradient with action-dependent factorized baselines

Variance reduction for policy gradient with action...

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Improving GANs using optimal transport

Improving GANs using optimal transport

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Report from the OpenAI hackathon

Report from the OpenAI hackathon

8 years ago 25 Add to circle
On first-order meta-learning algorithms

On first-order meta-learning algorithms

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Reptile: A scalable meta-learning algorithm

Reptile: A scalable meta-learning algorithm

8 years ago 26 Add to circle
OpenAI Scholars

OpenAI Scholars

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Sources: Anthropic pitched its own AI safety bill to US lawmakers; the bill would limit the circumstances in which the government could block a model's release (Owen Dahlkamp/Politico)

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