This is the official PyTorch implementation of our paper "Maximum Likelihood Reinforcement Learning" by Fahim Tajwar*, Guanning Zeng*, Yueer Zhou, Yuda Song, Daman Arora, Yiding Jiang, Jeff Schneider, ...

A day before a meeting between senior American and Iranian officials in Oman, Israeli officials estimate that there is a low likelihood of reaching agreements between Iran and the United States. On ...

Matt Webber is an experienced personal finance writer, researcher, and editor. He has published widely on personal finance, marketing, and the impact of technology on contemporary arts and culture.

Abstract: The maximum network delay needs to be estimated for maintaining the stability of delay-sensitive systems, such as remote-control applications. Conventional estimation approaches, including ...

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Abstract: Traditional methods for smart meter error estimation have problems such as low accuracy and low coverage. Moreover, the prior information of error and line ...

Therefore, the present study conducted an activation likelihood estimation (ALE) meta-analysis of fMRI studies to examine the similarities and differences between ASD and NCs, aiming to uncover ...

A comprehensive face recognition system built with OpenCV that supports real-time face detection, age and gender estimation, and persistent face database management with multi-image enrollment for ...