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One-shot imitation learning

One-shot imitation learning

Distill

Distill

Learning to communicate

Learning to communicate

Emergence of grounded compositional language in multi-agent populations

Emergence of grounded compositional language in multi-agent populations

Prediction and control with temporal segment models

Prediction and control with temporal segment models

Third-person imitation learning

Third-person imitation learning

Attacking machine learning with adversarial examples

Attacking machine learning with adversarial examples

Adversarial attacks on neural network policies

Adversarial attacks on neural network policies

Team update

Team update

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

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

One-shot imitation learning

One-shot imitation learning

8 years ago 13
Distill

Distill

8 years ago 13
Learning to communicate

Learning to communicate

8 years ago 13
Emergence of grounded compositional language in multi-agent populations

Emergence of grounded compositional language in mu...

8 years ago 14
Prediction and control with temporal segment models

Prediction and control with temporal segment model...

8 years ago 12
Third-person imitation learning

Third-person imitation learning

9 years ago 13
Attacking machine learning with adversarial examples

Attacking machine learning with adversarial exampl...

9 years ago 14
Adversarial attacks on neural network policies

Adversarial attacks on neural network policies

9 years ago 13
Team update

Team update

9 years ago 14
PixelCNN++: Improving the PixelCNN with discretized logistic mixture likelihood and other modifications

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

9 years ago 15
Faulty reward functions in the wild

Faulty reward functions in the wild

9 years ago 14
Universe

Universe

9 years ago 13
#Exploration: A study of count-based exploration for deep reinforcement learning

#Exploration: A study of count-based exploration f...

9 years ago 14
OpenAI and Microsoft

OpenAI and Microsoft

9 years ago 13
On the quantitative analysis of decoder-based generative models

On the quantitative analysis of decoder-based gene...

9 years ago 13
A connection between generative adversarial networks, inverse reinforcement learning, and energy-based models

A connection between generative adversarial networ...

9 years ago 14
RL²: Fast reinforcement learning via slow reinforcement learning

RL²: Fast reinforcement learning via slow reinforc...

9 years ago 14
Variational lossy autoencoder

Variational lossy autoencoder

9 years ago 14
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