Summary of Mental Modeling Of Reinforcement Learning Agents by Language Models, By Wenhao Lu et al.
Mental Modeling of Reinforcement Learning Agents by Language Modelsby Wenhao Lu, Xufeng Zhao, Josua Spisak,…
Mental Modeling of Reinforcement Learning Agents by Language Modelsby Wenhao Lu, Xufeng Zhao, Josua Spisak,…
An Autotuning-based Optimization Framework for Mixed-kernel SVM Classifications in Smart Pixel Datasets and Heterojunction Transistorsby…
Symbolic Learning Enables Self-Evolving Agentsby Wangchunshu Zhou, Yixin Ou, Shengwei Ding, Long Li, Jialong Wu,…
Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agentsby Chung-En Sun, Sicun Gao,…
GenRL: Multimodal-foundation world models for generalization in embodied agentsby Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt,…
Learning Optimal Filters Using Variational Inferenceby Enoch Luk, Eviatar Bach, Ricardo Baptista, Andrew StuartFirst submitted…
Learning for Bandits under Action Erasuresby Osama Hanna, Merve Karakas, Lin F. Yang, Christina FragouliFirst…
Token-Weighted RNN-T for Learning from Flawed Databy Gil Keren, Wei Zhou, Ozlem KalinliFirst submitted to…
Robust personnel rostering: how accurate should absenteeism predictions be?by Martina Doneda, Pieter Smet, Giuliana Carello,…
ResumeAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Modelsby Ahmed Heakl, Youssef Mohamed,…