Abstract: Programmable data planes allow for sophisticated applications that give operators the power to customize the functionality of their networks. Deploying these applications, however, often ...

Abstract: A 3-D parameterized guidance law against stationary target with impact angle constraint is proposed in this article. In particular, we perform a dimension reduction on the relative motion in ...

Recent work has shown that deep neural networks are capable ofapproximating both value functions and policies in reinforcementlearning domains featuring continuous state and actionspaces. However, to ...

Neural implicit fields are powerful for representing 3D scenes and generating high-quality novel views, but it re mains challenging to use such implicit representations for creating a 3D human avatar ...

PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF). Implementation includes DQN extensions with which FQF ...