2019.08.18 Neural papers

08-14-2019	Unconstrained Monotonic Neural Networks by Antoine Wehenkel et al
08-13-2019	Constrained Multi-Objective Optimization for Automated Machine Learning by Steven Gardner et al
08-15-2019	Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters by Grzegorz Dudek
08-16-2019	Performing Deep Recurrent Double Q-Learning for Atari Games by Felipe Moreno-Vera
08-16-2019	Generating Random Parameters in Feedforward Neural Networks with Random Hidden Nodes: Drawbacks of the Standard Method and How to Improve It by Grzegorz Dudek
08-16-2019	Differentiable Learning-to-Group Channels viaGroupable Convolutional Neural Networks by Zhaoyang Zhang et al
08-13-2019	A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction by Jordan J. Bird et al
08-14-2019	Heuristic Dynamic Programming for Adaptive Virtual Synchronous Generators by Sepehr Saadatmand et al
08-16-2019	The Partial Response Network by Paulo J. G. Lisboa et al
08-13-2019	Bayesian automated posterior repartitioning for nested sampling by Xi Chen et al
08-14-2019	Neural Network Predictive Controller for Grid-Connected Virtual Synchronous Generator by Sepehr Saadatmand et al
08-14-2019	MOEA/D with Uniformly Randomly Adaptive Weights by Lucas R. C. de Farias et al
08-14-2019	Dual Heuristic Dynamic Programing Control of Grid-Connected Synchronverters by Sepehr Saadatmand et al