UCB exploration via Q-ensembles - Robots that learn
- Equivalence between policy gradients and soft Q-learning
- Stochastic Neural Networks for hierarchical reinforcement learning
- Unsupervised sentiment neuron
- Spam detection in the physical world
- 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
- Attacking machine learning with adversarial examples
- Adversarial attacks on neural network policies
- PixelCNN++: Improving the PixelCNN with discretized logistic mixture likelihood and other modifications
- Faulty reward functions in the wild
- #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