Stochastic Neural Networks for hierarchical reinforcement learning - Unsupervised sentiment neuron
Evaluating boosted decision trees for billions of users - Evolution strategies as a scalable alternative to reinforcement learning
- One-shot imitation learning
- Learning to communicate
- Emergence of grounded compositional language in multi-agent populations
- Prediction and control with temporal segment models
- Third-person imitation learning
- Machine Learning @Scale 2017 recap
- Using Apache Spark for large-scale language model training
- Building scalable systems to understand content
- PixelCNN++: Improving the PixelCNN with discretized logistic mixture likelihood and other modifications
- Faulty reward functions in the wild
- Artificial intelligence, revealed
- #Exploration: A study of count-based exploration for deep reinforcement learning
- On the quantitative analysis of decoder-based generative models
- A connection between generative adversarial networks, inverse reinforcement learning, and energy-based models
- RL²: Fast reinforcement learning via slow reinforcement learning
- Variational lossy autoencoder