Emergence of grounded compositional language in multi-agent populations

Prediction and control with temporal segment models

Third-person imitation learning

Attacking machine learning with adversarial examples

Adversarial attacks on neural network policies

Team update

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

Faulty reward functions in the wild

Universe

OpenAI and Microsoft

#Exploration: A study of count-based exploration for deep reinforcement learning

On the quantitative analysis of decoder-based generative models