Adaptive Leader-Follower Formation Control and Obstacle Avoidance via Deep Reinforcement Learning. (arXiv:1911.06882v1 [cs.RO])

We propose a deep reinforcement learning (DRL) methodology for the tracking, obstacle avoidance, and formation control of nonholonomic robots. By separating vision-based control into a perception module and a controller module, we can train a DRL agent without sophisticated physics or 3D modeling. In addition, the modular framework averts daunting retrains of an image-to-action end-to-end…

Role-Oriented Code Generation in an Engine for Solving Hyperbolic PDE Systems. (arXiv:1911.06817v1 [cs.MS])

The development of a high performance PDE solver requires the combined expertise of interdisciplinary teams w.r.t. application domain, numerical scheme and low-level optimization. In this paper, we present how the ExaHyPE engine facilitates the collaboration of such teams by isolating three roles — application, algorithms, and optimization expert — thus allowing team members to focus…

A unified breaking onset criterion for surface gravity water waves in arbitrary depth. (arXiv:1911.06896v1 [physics.flu-dyn])

We investigate the validity and robustness of the Barthelemy et al. (2018) breaking wave onset prediction framework for surface gravity water waves in arbitrary water depth, including shallow water breaking over varying bathymetry. We show that the Barthelemy et al. (2018) breaking onset criterion, which they validated for deep and intermediate water depths, also segregates…

Quantum Computing at the Frontiers of Biological Sciences. (arXiv:1911.07127v1 [quant-ph])

The search for meaningful structure in biological data has relied on cutting-edge advances in computational technology and data science methods. However, challenges arise as we push the limits of scale and complexity in biological problems. Innovation in massively parallel, classical computing hardware and algorithms continues to address many of these challenges, but there is a…

The implications of Labour’s plan to scrap Key Stage 2 tests for Progress 8 and secondary school accountability in England. (arXiv:1911.06884v1 [stat.AP])

In England, Progress 8 is the Conservative government’s headline secondary school performance and accountability measure. Progress 8 attempts to measure the average academic progress pupils make in each school between their KS2 tests and their GCSE Attainment 8 examinations. The Labour opposition recently announced they would scrap the KS2 tests were they to be elected.…

High-numerical-aperture and long-working-distance objectives for single-atom experiments. (arXiv:1911.06929v1 [physics.optics])

We present two long-working-distance objective lenses with numerical apertures (NA) of 0.29 and 0.4 for single-atom experiments. The objective lenses are assembled entirely by the commercial on-catalog $\Phi$1” singlets. Both the objectives are capable to correct the spherical aberrations due to the standard flat vacuum glass windows with various thickness. The working distances of NA$=0.29$…

Granular Motor State Monitoring of Free Living Parkinson’s Disease Patients via Deep Learning. (arXiv:1911.06913v1 [stat.AP])

Parkinson’s disease (PD) is the second most common neurodegenerative disease worldwide and affects around 1% of the (60+ years old) elderly population in industrial nations. More than 80% of PD patients suffer from motor symptoms, which could be well addressed if a personalized medication schedule and dosage could be administered to them. However, such personalized…

Variance partitioning in multilevel models for count data. (arXiv:1911.06888v1 [stat.ME])

A first step when fitting multilevel models to continuous responses is to explore the degree of clustering in the data. Researchers fit variance-component models and then report the proportion of variation in the response that is due to systematic differences between clusters or equally the response correlation between units within a cluster. These statistics are…