#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: Jian Guo、Heung-Yeung Shum Paper: https://arxiv.org/abs/2408.10255 Building AGI for Quantitative Investment: The Large Investment Model…
Authors: Mohammad Baqar Paper: https://arxiv.org/abs/2408.10252 Introduction Introduction to AI Tools in Software Development AI tools…
Authors: Ananya Pandey、Dinesh Kumar Vishwakarma Paper: https://arxiv.org/abs/2408.10248 Introduction In the digital age, social media platforms…
Authors: Jiangbin Zheng、Han Zhang、Qianqing Xu、An-Ping Zeng、Stan Z. Li Paper: https://arxiv.org/abs/2408.10247 Introduction Enzymes, specialized proteins that…
Authors: Ananya Pandey、Dinesh Kumar Vishwakarma Paper: https://arxiv.org/abs/2408.10246 Introduction Sarcasm is a complex form of communication…
Authors: Cristian Sestito、Shady Agwa、Themis Prodromakis Paper: https://arxiv.org/abs/2408.10243 Introduction Convolutional Neural Networks (CNNs) have become the…