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OpenAI Scholars 2019: Meet our Scholars

OpenAI Scholars 2019: Meet our Scholars

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OpenAI LP

OpenAI LP

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Introducing Activation Atlases

Introducing Activation Atlases

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Neural MMO: A massively multiagent game environment

Neural MMO: A massively multiagent game environmen...

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Spinning Up in Deep RL: Workshop review

Spinning Up in Deep RL: Workshop review

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AI safety needs social scientists

AI safety needs social scientists

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Better language models and their implications

Better language models and their implications

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Computational limitations in robust classification and win-win results

Computational limitations in robust classification...

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OpenAI Fellows Summer 2018: Final projects

OpenAI Fellows Summer 2018: Final projects

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How AI training scales

How AI training scales

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Quantifying generalization in reinforcement learning

Quantifying generalization in reinforcement learni...

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Spinning Up in Deep RL

Spinning Up in Deep RL

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Learning concepts with energy functions

Learning concepts with energy functions

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

Plan online, learn offline: Efficient learning and...

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Reinforcement learning with prediction-based rewards

Reinforcement learning with prediction-based rewar...

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Learning complex goals with iterated amplification

Learning complex goals with iterated amplification...

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OpenAI Scholars 2019: Applications open

OpenAI Scholars 2019: Applications open

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OpenAI Fellows Winter 2019 & Interns Summer 2019

OpenAI Fellows Winter 2019 & Interns Summer 2019

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

FFJORD: Free-form continuous dynamics for scalable...

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OpenAI Scholars 2018: Final projects

OpenAI Scholars 2018: Final projects

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The International 2018: Results

The International 2018: Results

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Large-scale study of curiosity-driven learning

Large-scale study of curiosity-driven learning

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OpenAI Five Benchmark: Results

OpenAI Five Benchmark: Results

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Learning dexterity

Learning dexterity

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Variational option discovery algorithms

Variational option discovery algorithms

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OpenAI Scholars 2018: Meet our Scholars

OpenAI Scholars 2018: Meet our Scholars

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OpenAI Five Benchmark

OpenAI Five Benchmark

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Glow: Better reversible generative models

Glow: Better reversible generative models

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Learning Montezuma’s Revenge from a single demonstration

Learning Montezuma’s Revenge from a single demonst...

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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

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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

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OpenAI Scholars

OpenAI Scholars

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Some considerations on learning to explore via meta-reinforcement learning

Some considerations on learning to explore via met...

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Multi-Goal Reinforcement Learning: Challenging robotics environments and request for research

Multi-Goal Reinforcement Learning: Challenging rob...

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Ingredients for robotics research

Ingredients for robotics research

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