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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

Interpretable and pedagogical examples

Learning a hierarchy

Generalizing from simulation

Sim-to-real transfer of robotic control with dynamics randomization

Latest

Interpretable machine learning through teaching

8 years ago 59

Discovering types for entity disambiguation

8 years ago 59

Requests for Research 2.0

8 years ago 59

Scaling Kubernetes to 2,500 nodes

8 years ago 64

Block-sparse GPU kernels

8 years ago 80

Learning sparse neural networks through L₀ regular...

8 years ago 62

Interpretable and pedagogical examples

9 years ago 65

Learning a hierarchy

9 years ago 57

Generalizing from simulation

9 years ago 59

Sim-to-real transfer of robotic control with dynam...

9 years ago 58

Asymmetric actor critic for image-based robot lear...

9 years ago 59

Domain randomization and generative models for rob...

9 years ago 59

Meta-learning for wrestling

9 years ago 58

Competitive self-play

9 years ago 56

Nonlinear computation in deep linear networks

9 years ago 57

Learning to model other minds

9 years ago 73

Learning with opponent-learning awareness

9 years ago 61

OpenAI Baselines: ACKTR & A2C

9 years ago 74

Showing 36540-36558 of total 36612 entries.

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

Interpretable and pedagogical examples

Learning a hierarchy

Generalizing from simulation

Sim-to-real transfer of robotic control with dynamics randomization

Latest

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 regular...

Interpretable and pedagogical examples

Learning a hierarchy

Generalizing from simulation

Sim-to-real transfer of robotic control with dynam...

Asymmetric actor critic for image-based robot lear...

Domain randomization and generative models for rob...

Meta-learning for wrestling

Competitive self-play

Nonlinear computation in deep linear networks

Learning to model other minds

Learning with opponent-learning awareness

OpenAI Baselines: ACKTR & A2C

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