Summary of Specification Overfitting in Artificial Intelligence, by Benjamin Roth et al.
Specification Overfitting in Artificial Intelligenceby Benjamin Roth, Pedro Henrique Luz de Araujo, Yuxi Xia, Saskia…
Summary of An Improved Strategy For Blood Glucose Control Using Multi-step Deep Reinforcement Learning, by Weiwei Gu and Senquan Wang
An Improved Strategy for Blood Glucose Control Using Multi-Step Deep Reinforcement Learningby Weiwei Gu, Senquan…
Summary of Bigraph Matching Weighted with Learnt Incentive Function For Multi-robot Task Allocation, by Steve Paul et al.
Bigraph Matching Weighted with Learnt Incentive Function for Multi-Robot Task Allocationby Steve Paul, Nathan Maurer,…
Summary of Enhancing Image Caption Generation Using Reinforcement Learning with Human Feedback, by Adarsh N L et al.
Enhancing Image Caption Generation Using Reinforcement Learning with Human Feedbackby Adarsh N L, Arun P…
Summary of Enhancing Multi-hop Knowledge Graph Reasoning Through Reward Shaping Techniques, by Chen Li et al.
Enhancing Multi-Hop Knowledge Graph Reasoning through Reward Shaping Techniquesby Chen Li, Haotian Zheng, Yiping Sun,…
Summary of Chatuie: Exploring Chat-based Unified Information Extraction Using Large Language Models, by Jun Xu et al.
ChatUIE: Exploring Chat-based Unified Information Extraction using Large Language Modelsby Jun Xu, Mengshu Sun, Zhiqiang…
Summary of On the Essence and Prospect: An Investigation Of Alignment Approaches For Big Models, by Xinpeng Wang et al.
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Modelsby Xinpeng Wang,…
Summary of Leveraging Federated Learning and Edge Computing For Recommendation Systems Within Cloud Computing Networks, by Yaqian Qi et al.
Leveraging Federated Learning and Edge Computing for Recommendation Systems within Cloud Computing Networksby Yaqian Qi,…
Summary of Daco: Towards Application-driven and Comprehensive Data Analysis Via Code Generation, by Xueqing Wu et al.
DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generationby Xueqing Wu, Rui Zheng, Jingzhen…
Summary of Pps-qmix: Periodically Parameter Sharing For Accelerating Convergence Of Multi-agent Reinforcement Learning, by Ke Zhang et al.
PPS-QMIX: Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement Learningby Ke Zhang, DanDan Zhu,…