India’s GDP revision next year has been preceded by discussion papers published by the ministry of statistics. This should ...
Abstract: Decision-making in urban autonomous driving scenarios presents significant challenges due to the highly stochastic and interactive nature of traffic participants. While reinforcement ...
First-order derivatives: n additional function calls are needed. Second-order derivatives based on gradient calls, when the "grd" module is specified (Dennis and Schnabel 1983): n additional gradient ...
Abstract: With the growing demands for Autonomous Surface Vehicles (ASVs) in recent years, the number of ASVs being deployed for various maritime missions is expected to increase rapidly in the near ...
Learning fair representation is crucial for achieving fairness or debiasing sensitive information. Most existing works rely on adversarial representation learning to inject some invariance into ...
PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF). Implementation includes DQN extensions with which FQF ...
June 17, 2020, Paper, "Benefit-cost analysis (BCA) is often viewed as measuring the efficiency of a policy independent of the distribution of its consequences. The role of distributional effects on ...
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