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Inverse Reinforcement Learning via Matching of Optimality Profiles
(2020)arXivThe goal of inverse reinforcement learning (IRL) is to infer a reward function that explains the behavior of an agent performing a task. The assumption that most approaches make is that the demonstrated behavior is near-optimal. In many real-world scenarios, however, examples of truly optimal behavior are scarce, and it is desirable to effectively leverage sets of demonstrations of suboptimal or heterogeneous performance, which are easier ...Working Paper -
Observation of Magnetic Proximity Effect Using Resonant Optical Spectroscopy of an Electrically Tunable MoSe2/CrBr3 Heterostructure
(2020)arXivVan der Waals heterostructures combining two-dimensional magnetic and semiconducting layers constitute a promising platform for interfacing magnetism, electronics, and optics. Here, we use resonant optical reflection spectroscopy to the observe magnetic proximity effect in a gate-tunable MoSe2/CrBr3 heterostructure. High quality of the interface leads to a giant zero-field splitting of the K and K' valley excitons in MoSe2, equivalent to ...Working Paper -
Glaciers
(2020)Meltwater from Alpine glaciers is a key component of the Swiss hydrological budget: It significantly contributes to total discharge, sustains minimum flow levels during dry periods, and shapes seasonal regimes. Due to climate change, Swiss glaciers are anticipated to lose between 59% and 93% of their 2018 ice volume by 2100. The associated glacier retreat will impact hydrology, ecosystems, sediment transport, water quality, landscapes, ...Report -
xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs
(2020)arXivAt online retail platforms, it is crucial to actively detect risks of fraudulent transactions to improve our customer experience, minimize loss, and prevent unauthorized chargebacks. Traditional rule-based methods and simple feature-based models are either inefficient or brittle and uninterpretable. The graph structure that exists among the heterogeneous typed entities of the transaction logs is informative and difficult to fake. To utilize ...Working Paper -
MOBIS-COVID19/01
(2020)Arbeitsberichte Verkehrs- und RaumplanungThis series of working papers presents the ongoing analysis of the mobility behaviour in Switzerland during the period of special measures to combat the Corona virus. A sample of over 1200 participants was recruited from a previous GPS-based mobility study, MOBIS. A 4 week baseline period is therefore available for each participant from the second half of 2019, as well as socio-economic variables. Mobility indicators considered include ...Report -
MOBIS-COVID19/14
(2020)Arbeitsberichte Verkehrs- und RaumplanungOn March 16, 2020, 3700 participants who completed the MOBIS study between September 2019 and January 2020 were invited to reinstall the GPS Logger and Travel Diary App ‘Catch-My-Day’, developed by MotionTag, to record their mobility behaviour during the period of special measures implemented to control the spread of the Corona Virus. The first 4 weeks of mobility data from the original MOBIS Study is taken for each participant as a ...Report -
MOBIS-COVID19/15
(2020)Arbeitsberichte Verkehrs- und RaumplanungOn March 16, 2020, 3700 participants who completed the MOBIS study between September 2019 and January 2020 were invited to reinstall the GPS Logger and Travel Diary App ‘Catch-My-Day’, developed by MotionTag, to record their mobility behaviour during the period of special measures implemented to control the spread of the Corona Virus. The first 4 weeks of mobility data from the original MOBIS Study is taken for each participant as a ...Report -
MOBIS-COVID19/13
(2020)Arbeitsberichte Verkehrs- und RaumplanungOn March 16, 2020, 3700 participants who completed the MOBIS study between September 2019 and January 2020 were invited to reinstall the GPS Logger and Travel Diary App ‘Catch-My-Day’, developed by MotionTag, to record their mobility behaviour during the period of special measures implemented to control the spread of the Corona Virus. The first 4 weeks of mobility data from the original MOBIS Study is taken for each participant as a ...Report -
MOBIS-COVID19/12
(2020)Arbeitsberichte Verkehrs- und RaumplanungOn March 16, 2020, 3700 participants who completed the MOBIS study between September 2019 and January 2020 were invited to reinstall the GPS Logger and Travel Diary App ‘Catch-My-Day’, developed by MotionTag, to record their mobility behaviour during the period of special measures implemented to control the spread of the Corona Virus. The first 4 weeks of mobility data from the original MOBIS Study is taken for each participant as a ...Report -
MOBIS-COVID19/11
(2020)Arbeitsberichte Verkehrs- und RaumplanungOn March 16, 2020, 3700 participants who completed the MOBIS study between September 2019 and January 2020 were invited to reinstall the GPS Logger and Travel Diary App ‘Catch-My-Day’, developed by MotionTag, to record their mobility behaviour during the period of special measures implemented to control the spread of the Corona Virus. The first 4 weeks of mobility data from the original MOBIS Study is taken for each participant as a ...Report