#1 Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes [PDF9] Authors: Yotam Amitai ; Yael Septon ; Ofra Amir Explainable reinforcement learning (XRL) methods aim to help elucidate…
Authors: Qiyao Liang、Ziming Liu、Mitchell Ostrow、Ila Fiete ArXiv：https://arxiv.org/abs/2408.13256 Introduction Diffusion models have demonstrated a remarkable ability to generate realistic images by combining elements…
Authors:Manuel R. Torres、Parisa Zehtab、Michael Cashmore、Daniele Magazzeni、Manuela Veloso ArXiv：https://arxiv.org/abs/2408.13208 Introduction Background One of the most amazing implementations of AI in so many…
Authors: Valentinos Pariza、Mohammadreza Salehi、Gertjan Burghouts、Francesco Locatello、Yuki M. Asano Paper: https://arxiv.org/abs/2408.11054 NeCo: Enhancing DINOv2’s Spatial Representations with Patch Neighbor Consistency Introduction Dense…
Latest Posts
Authors: Róbert Csordás、Christopher Potts、Christopher D. Manning、Atticus Geiger Paper: https://arxiv.org/abs/2408.10920 Introduction The Linear Representation Hypothesis (LRH)…
Authors: Zijian Zhao、Tingwei Chen、Zhijie Cai、Hang Li、Xiaoyang Li、Qimei Chen、Guangxu Zhu Paper: https://arxiv.org/abs/2408.10919 Introduction In recent years,…
Authors: Zhongliang Guo、Lei Fang、Jingyu Lin、Yifei Qian、Shuai Zhao、Zeyu Wang、Junhao Dong、Cunjian Chen、Ognjen Arandjelović、Chun Pong Lau Paper: https://arxiv.org/abs/2408.10901…
Authors: Natchapon Jongwiriyanurak、Zichao Zeng、June Moh Goo、Xinglei Wang、Ilya Ilyankou、Kerkritt Srirrongvikrai、Meihui Wang、James Haworth Paper: https://arxiv.org/abs/2408.10872 Introduction Road…
Authors: Chiara Stuardi、Claudio Gheller、Franco Vazza、Andrea Botteon Paper: https://arxiv.org/abs/2408.10871 Radio U-Net: A Convolutional Neural Network to…
Authors: Haozhe Ma、Zhengding Luo、Thanh Vinh Vo、Kuankuan Sima、Tze-Yun Leong Paper: https://arxiv.org/abs/2408.10858 Introduction Reinforcement learning (RL) has…