Papers to save once they have a proper website or citation page.
##Reinforcement Learning
Stochastic Neural Networks for Hierarchical Reinforcement learning
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning
Communicating Hierarchical Neural Controllers for Learning Zero-Shot Task Generalization
Metacontrol for Adaptive Imagination-Based Optimization
Recurrent Environment Simulators
THE PREDICTRON: END-TO-END LEARNING AND PLANNING
SURPRISE-BASED INTRINSIC MOTIVATION FOR DEEP REINFORCEMENT LEARNING
SPATIO-TEMPORAL ABSTRACTIONS IN REINFORCEMENT LEARNING THROUGH NEURAL ENCODING
##Probabilistic Programming
Deep Probabilistic Programming
##Object Disentanglement
DISCOVERING OBJECTS AND THEIR RELATIONS FROM ENTANGLED SCENE REPRESENTATIONS
β-VAE: LEARNING BASIC VISUAL CONCEPTS WITH A CONSTRAINED VARIATIONAL FRAMEWORK