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Variance reduction for policy gradient with action-dependent factorized baselines

Improving GANs using optimal transport

Report from the OpenAI hackathon

On first-order meta-learning algorithms

Reptile: A scalable meta-learning algorithm

OpenAI Scholars

Some considerations on learning to explore via meta-reinforcement learning

Some considerations on learning to explore via meta-reinforcement learning

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

Ingredients for robotics research

OpenAI hackathon

OpenAI supporters

Preparing for malicious uses of AI

Interpretable machine learning through teaching

Discovering types for entity disambiguation

Requests for Research 2.0

Scaling Kubernetes to 2,500 nodes

Block-sparse GPU kernels

Learning sparse neural networks through L₀ regularization

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