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
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Ingredients for robotics research
8 years ago
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OpenAI hackathon
8 years ago
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OpenAI supporters
8 years ago
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Preparing for malicious uses of AI
8 years ago
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Interpretable machine learning through teaching
8 years ago
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Discovering types for entity disambiguation
8 years ago
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Requests for Research 2.0
8 years ago
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Scaling Kubernetes to 2,500 nodes
8 years ago
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Block-sparse GPU kernels
8 years ago
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Interpretable and pedagogical examples
8 years ago
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Learning a hierarchy
8 years ago
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Generalizing from simulation
8 years ago
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Competitive self-play
8 years ago
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