Task: Language Identification
Input (Spanish, English): This paper comes up with a novel approach to searching the space of architectures for deep neural networks using reinforcement learning. The idea is straightforward and sensible: use a reinforcement learning strategy to iteratively grow a deep net graph (the space of actions is e.g. adding different layer types) via Q-learning. The reviewers agree that the idea is interesting, novel and promising but are underwhelmed with the execution of the experiments and the empirical results.     The idea behind the paper and the formulation of the problem are quite similar to a concurrent submission (
Output (English): en