16 citations · 24 across the 3 of their papers we have counts for
4 papers
Attentive Multi-Task Deep Reinforcement Learning
Timo Bram, Gino Brunner, Oliver Richter +1
Sharing knowledge between tasks is vital for efficient learning in a multi-task setting. However, most research so far has focused on the easier case where knowledge transfer is no…
Natural Language Multitasking: Analyzing and Improving Syntactic Saliency of Hidden Representations
Gino Brunner, Yuyi Wang, Roger Wattenhofer +1
We train multi-task autoencoders on linguistic tasks and analyze the learned hidden sentence representations. The representations change significantly when translation and part-of-…
JamBot: Music Theory Aware Chord Based Generation of Polyphonic Music with LSTMs
Gino Brunner, Yuyi Wang, Roger Wattenhofer +1
We propose a novel approach for the generation of polyphonic music based on LSTMs. We generate music in two steps. First, a chord LSTM predicts a chord progression based on a chord…
Teaching a Machine to Read Maps with Deep Reinforcement Learning
Gino Brunner, Oliver Richter, Yuyi Wang +1
The ability to use a 2D map to navigate a complex 3D environment is quite remarkable, and even difficult for many humans. Localization and navigation is also an important problem i…