Generalization

Tuning Recurrent Neural Networks with Reinforcement Learning

Generating music using traditional supervised sequence models suffers from known failure modes, including the inability to produce coherent global structure. Music is an interesting sequence generation problem, because musical compositions adhere to known rules. We impose these rules with a novel algorithm combining RL and supervised learning.

Natasha Jaques, S. Gu, R. E. Turner, D. Eck

2016 In International Conference on Learning Representations (ICLR) - workshop

Tuning Recurrent Neural Networks with Reinforcement Learning

Multi-task Multi-Kernel Learning for Estimating Individual Wellbeing

Wellbeing is a complex internal state consisting of several related dimensions, such as happiness, stress, energy, and health. We use Multi-task Multi-kernel learning to classify them simultaneously, leading to significant performance approvements.

Natasha Jaques*, S. Taylor*, A. Sano, R. Picard

2015 In Neural Information Processing Systems (NeurIPS) Workshop on Multimodal Machine Learning

Multi-task Multi-Kernel Learning for Estimating Individual Wellbeing