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Technology

Preparing for malicious uses of AI

Preparing for malicious uses of AI

8 years ago 8 Add to circle

Interpretable machine learning through teaching

Interpretable machine learning through teaching

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Discovering types for entity disambiguation

Discovering types for entity disambiguation

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Requests for Research 2.0

Requests for Research 2.0

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Scaling Kubernetes to 2,500 nodes

Scaling Kubernetes to 2,500 nodes

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Block-sparse GPU kernels

Block-sparse GPU kernels

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Learning sparse neural networks through L₀ regularization

Learning sparse neural networks through L₀ regular...

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Interpretable and pedagogical examples

Interpretable and pedagogical examples

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Learning a hierarchy

Learning a hierarchy

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Generalizing from simulation

Generalizing from simulation

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Asymmetric actor critic for image-based robot learning

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

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

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

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Domain randomization and generative models for robotic grasping

Domain randomization and generative models for rob...

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Competitive self-play

Competitive self-play

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Meta-learning for wrestling

Meta-learning for wrestling

8 years ago 11 Add to circle

Nonlinear computation in deep linear networks

Nonlinear computation in deep linear networks

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Learning to model other minds

Learning to model other minds

8 years ago 11 Add to circle

Learning with opponent-learning awareness

Learning with opponent-learning awareness

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OpenAI Baselines: ACKTR & A2C

OpenAI Baselines: ACKTR & A2C

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More on Dota 2

More on Dota 2

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Dota 2

Dota 2

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Gathering human feedback

Gathering human feedback

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Better exploration with parameter noise

Better exploration with parameter noise

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Proximal Policy Optimization

Proximal Policy Optimization

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Robust adversarial inputs

Robust adversarial inputs

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Hindsight Experience Replay

Hindsight Experience Replay

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Teacher–student curriculum learning

Teacher–student curriculum learning

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Faster physics in Python

Faster physics in Python

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Learning from human preferences

Learning from human preferences

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Learning to cooperate, compete, and communicate

Learning to cooperate, compete, and communicate

9 years ago 14 Add to circle

UCB exploration via Q-ensembles

UCB exploration via Q-ensembles

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OpenAI Baselines: DQN

OpenAI Baselines: DQN

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Robots that learn

Robots that learn

9 years ago 10 Add to circle

Roboschool

Roboschool

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Equivalence between policy gradients and soft Q-learning

Equivalence between policy gradients and soft Q-le...

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Stochastic Neural Networks for hierarchical reinforcement learning

Stochastic Neural Networks for hierarchical reinfo...

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Unsupervised sentiment neuron

Unsupervised sentiment neuron

9 years ago 13 Add to circle

Spam detection in the physical world

Spam detection in the physical world

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Evolution strategies as a scalable alternative to reinforcement learning

Evolution strategies as a scalable alternative to ...

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One-shot imitation learning

One-shot imitation learning

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Distill

Distill

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Learning to communicate

Learning to communicate

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Emergence of grounded compositional language in multi-agent populations

Emergence of grounded compositional language in mu...

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Prediction and control with temporal segment models

Prediction and control with temporal segment model...

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Third-person imitation learning

Third-person imitation learning

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Attacking machine learning with adversarial examples

Attacking machine learning with adversarial exampl...

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Adversarial attacks on neural network policies

Adversarial attacks on neural network policies

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Team update

Team update

9 years ago 13 Add to circle

PixelCNN++: Improving the PixelCNN with discretized logistic mixture likelihood and other modifications

PixelCNN++: Improving the PixelCNN with discretize...

9 years ago 11 Add to circle

Faulty reward functions in the wild

Faulty reward functions in the wild

9 years ago 13 Add to circle