Fetching the paper…
Reading the bibliography…
Artificial Intelligence (AI) agents have rapidly evolved from specialized, rule-based programs to versatile, learning-driven autonomous systems capable of perception, reasoning, and action in complex environments.
The Fifth Generation: Artificial Intelligence and Japan’s Computer Challenge to the World
Edward A. Feigenbaum and Pamela McCorduck · 1983
Earlier work this paper cites.
Reinforcement learning: A survey
Leslie Pack Kaelbling, Michael L Littman, and Andrew W Moore · 1996
Earlier work this paper cites.
Multiagent systems: A survey from a machine learning perspective
Peter Stone and Manuela Veloso · 2000
Earlier work this paper cites.
Automated Planning: Theory and Practice
Malik Ghallab, Dana Nau, and Paolo Traverso · 2004
Earlier work this paper cites.
Spoken Language Understanding: Systems for Extracting Semantic Information from Speech
Gokhan Tür and Renato De Mori · 2011
Earlier work this paper cites.
Algorithmic trading
Giuseppe Nuti, Mahnoosh Mirghaemi, Philip Treleaven, and Chaiyakorn Yingsaeree · 2011
Earlier work this paper cites.
Playing atari with deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, et al · 2013
Earlier work this paper cites.
Human-level control through deep reinforcement learning
Volodymyr et al. Mnih · 2015
Earlier work this paper cites.
Mastering the game of go with deep neural networks and tree search
David et al. Silver · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
A survey of motion planning and control techniques for self-driving urban vehicles
Brian Paden, Michal Čáp, Sze Zheng Yong, Denis Yershov, and Emilio Frazzoli · 2016
Earlier work this paper cites.
Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation
Tejas D et al. Kulkarni · 2016
Earlier work this paper cites.
Toward an integration of deep learning and neuroscience
Adam H Marblestone, Greg Wayne, and Konrad P Kording · 2016
Earlier work this paper cites.
Concrete problems in ai safety
Dario et al. Amodei · 2016
Earlier work this paper cites.
Mastering the game of go without human knowledge
David et al. Silver · 2017
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2017
Earlier work this paper cites.
Building machines that learn and think like people
Brenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, and Samuel J Gershman · 2017
Earlier work this paper cites.
Configurable robotic platform for automated synthesis
Philip J Kitson, Guillaume Marie, John S Fossey, Paulo Jesus, and Leroy Cronin · 2017
Earlier work this paper cites.
Deep direct reinforcement learning for financial signal representation and trading
Yue Deng, Feng Bao, Youyong Kong, Zhiquan Ren, and Qionghai Dai · 2017
Earlier work this paper cites.
Proximal policy optimization algorithms
John et al. Schulman · 2017
Earlier work this paper cites.
Model-agnostic meta-learning for fast adaptation of deep networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine · 2017
Earlier work this paper cites.
The application of artificial intelligence in public administration for forecasting high crime risk transportation areas in urban environment
Georgios N Kouziokas · 2017
Earlier work this paper cites.
The forthcoming artificial intelligence (ai) revolution: Its impact on society and firms
Spyros Makridakis · 2017
Earlier work this paper cites.
Towards a rigorous science of interpretable machine learning
Finale Doshi-Velez and Been Kim · 2017
Earlier work this paper cites.
Reinforcement Learning: An Introduction
Richard S Sutton and Andrew G Barto · 2018
Earlier work this paper cites.
Mean field multi-agent reinforcement learning
Yaodong et al. Yang · 2018
Earlier work this paper cites.
Soft actor-critic algorithms and applications
Tuomas et al. Haarnoja · 2018
Earlier work this paper cites.
The AI advantage: How to put the artificial intelligence revolution to work
Thomas H Davenport · 2018
Earlier work this paper cites.
A survey of multi-agent system approach in risk assessment
Mustafa Hamid Hassan, Salama A Mostafa, Aida Mustapha, Mohd Helmy Abd Wahab, and Danial Md Nor · 2018
Earlier work this paper cites.
Enhance wound healing monitoring through a thermal imaging based smartphone app
Steven Yi, Adam Yee, John Harmon, Frank Meng, and Saurabh Hinduja · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob et al. Devlin · 2019
Earlier work this paper cites.
Emergent multi-agent communication in the deep learning era
Angeliki Lazaridou and Marco Baroni · 2019
Earlier work this paper cites.
Application of artificial intelligence in automation of supply chain management
Rupa Dash, Mark McMurtrey, Carl Rebman, and Upendra K Kar · 2019
Earlier work this paper cites.
The global landscape of ai ethics guidelines
Anna Jobin, Marcello Ienca, and Effy Vayena · 2019
Earlier work this paper cites.
Energy and policy considerations for deep learning in nlp
Emma Strubell, Ananya Ganesh, and Andrew McCallum · 2019
Earlier work this paper cites.
Language models are few-shot learners
Tom B et al. Brown · 2020
Earlier work this paper cites.
The next decade in ai: Four steps towards robust artificial intelligence
Gary Marcus · 2020
Earlier work this paper cites.
A simple framework for contrastive learning of visual representations
Ting et al. Chen · 2020
Earlier work this paper cites.
Experience grounds language
Yonatan et al. Bisk · 2020
Earlier work this paper cites.
Mental models of AI agents in a cooperative game setting
Katy Ilonka Gero, Zahra Ashktorab, Casey Dugan, Qian Pan, James Johnson, Werner Geyer, Maria Ruiz, Sarah Miller, David R. Millen, Murray Campbell, Sadhana Kumaravel, and Wei Zhang · 2020
Earlier work this paper cites.
The ethics of ai ethics: An evaluation of guidelines
Thilo Hagendorff · 2020
Earlier work this paper cites.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey et al. Dosovitskiy · 2021
Earlier work this paper cites.
Cot: an efficient python tool for detecting marker genes among many subtypes
Yingzhou Lu, Chiung-Ting Wu, Sarah J Parker, Lulu Chen, Georgia Saylor, Jennifer E Van Eyk, David M Herrington, and Yue Wang · 2021
Earlier work this paper cites.
Learning quickly to plan quickly using modular meta-learning
Rohan Chitnis, Tom Silver, and Tomas Lozano-Pérez · 2021
Earlier work this paper cites.
Data-driven detection of subtype-specific differentially expressed genes
Lulu Chen, Yingzhou Lu, Chiung-Ting Wu, Robert Clarke, Guoqiang Yu, Jennifer E Van Eyk, David M Herrington, and Yue Wang · 2021
Earlier work this paper cites.
Applications of artificial intelligence on customer experience and service quality of the banking sector
M Satheesh and Samala Nagaraj · 2021
Earlier work this paper cites.
Iot-enabled smart cities: Evolution and outlook
Martin Bauer, Luis Sanchez, and JaeSeung Song · 2021
Earlier work this paper cites.
Towards domain-agnostic and open-domain generalization of vision and language agents
Yanli et al. Zhao · 2021
Earlier work this paper cites.
Cosbin: cosine score-based iterative normalization of biologically diverse samples
Chiung-Ting Wu, Minjie Shen, Dongping Du, Zuolin Cheng, Sarah J Parker, Jennifer E Van Eyk, Guoqiang Yu, Robert Clarke, David M Herrington, et al · 2022
Earlier work this paper cites.
Chain-of-thought prompting elicits reasoning in large language models
Jason et al. Wei · 2022
Earlier work this paper cites.
A continual learning survey: Defying forgetting in classification tasks
Matthias et al. De Lange · 2022
Earlier work this paper cites.
Few could be better than all: Feature sampling and grouping for scene text detection
Jingqun Tang, Wenqing Zhang, Hongye Liu, MingKun Yang, Bo Jiang, Guanglong Hu, and Xiang Bai · 2022
Earlier work this paper cites.
Optimal boxes: boosting end-to-end scene text recognition by adjusting annotated bounding boxes via reinforcement learning
Jingqun Tang, Wenming Qian, Luchuan Song, Xiena Dong, Lan Li, and Xiang Bai · 2022
Earlier work this paper cites.
Logistics and supply chain management
Martin Christopher · 2022
Earlier work this paper cites.
Artificial intelligence and fraud detection
Yang Bao, Gilles Hilary, and Bin Ke · 2022
Earlier work this paper cites.
Cot: an efficient and accurate method for detecting marker genes among many subtypes
Yingzhou Lu, Chiung-Ting Wu, Sarah J Parker, Zuolin Cheng, Georgia Saylor, Jennifer E Van Eyk, Guoqiang Yu, Robert Clarke, David M Herrington, and Yue Wang · 2022
Cited alongside, same era.
Relax: Reinforcement learning agent explainer for arbitrary predictive models
Ziheng Chen, Fabrizio Silvestri, Jia Wang, He Zhu, Hongshik Ahn, and Gabriele Tolomei · 2022
Cited alongside, same era.
Incremental learning meets transfer learning: Application to multi-site prostate mri segmentation
Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John Onofrey, Lawrence Staib, and James S Duncan · 2022
Cited alongside, same era.
Explain the explainer: Interpreting model-agnostic counterfactual explanations of a deep reinforcement learning agent
Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, Jia Wang, He Zhu, and Hongshik Ahn · 2022
Cited alongside, same era.
The Rise and Potential of Large Language Model Based Agents: A Survey, September 2023
Transforming education: A modern ai-driven approach for enhancing student engagement in higher education
Malni Kumarathunga · 2024
Later among the works it cites.
Human-ai collaboration: Designing artificial agents to facilitate socially shared regulation among learners
Justin Edwards, Andy Nguyen, Joni Lämsä, Marta Sobocinski, Ridwan Whitehead, Belle Dang, Anni-Sofia Roberts, and Sanna Järvelä · 2024
Later among the works it cites.
From mooc to maic: Reshaping online teaching and learning through llm-driven agents
Jifan Yu, Zheyuan Zhang, Daniel Zhang-li, Shangqing Tu, Zhanxin Hao, Rui Miao Li, Haoxuan Li, Yuanchun Wang, Hanming Li, Linlu Gong, et al · 2024
Later among the works it cites.
A systematic review of machine learning approaches for detecting deceptive activities on social media: Methods, challenges, and biases, 2024
Yunchong Liu, Xiaorui Shen, Yeyubei Zhang, Zhongyan Wang, Yexin Tian, Jianglai Dai, and Yuchen Cao · 2024
Later among the works it cites.
Towards a science exocortex
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, Rui Zheng, Xiaoran Fan, Xiao Wang, Limao Xiong, Yuhao Zhou, Weiran Wang, Changhao Jiang, Yicheng Zou, Xiangyang Liu, Zhangyue Yin, Shihan Dou, Rongxiang Weng, Wensen Cheng, Qi Zhang, Wenjuan Qin, Yongyan Zheng, Xipeng Qiu, Xuanjing Huang, and Tao Gui · 2023
Cited alongside, same era.
Llm-powered autonomous agents
Lilian Weng · 2023
Cited alongside, same era.
Chain of hindsight aligns language models with feedback
Hao Liu, Carmelo Sferrazza, and Pieter Abbeel · 2023
Cited alongside, same era.
Augmented language models: a survey
Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ram Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, et al · 2023
Cited alongside, same era.
Api-bank: A comprehensive benchmark for tool-augmented llms
Minghao Li, Yingxiu Zhao, Bowen Yu, Feifan Song, Hangyu Li, Haiyang Yu, Zhoujun Li, Fei Huang, and Yongbin Li · 2023
Cited alongside, same era.
Abds: tool suite for analyzing biologically diverse samples
Dongping Du, Saurabh Bhardwaj, Sarah J Parker, Zuolin Cheng, Zhen Zhang, Jennifer E Van Eyk, Guoqiang Yu, Robert Clarke, David M Herrington, et al · 2023
Cited alongside, same era.
Deep learning in the stock market—a systematic survey of practice, backtesting, and applications
Kenniy Olorunnimbe and Herna Viktor · 2023
Cited alongside, same era.
Exploring ai music generation: A review of deep learning algorithms and datasets for undergraduate researchers
Isshin Yunoki, Guy Berreby, Nicholas D’Andrea, Yuhua Lu, and Xiaodong Qu · 2023
Cited alongside, same era.
Kevin G. Yager · 2024
Later among the works it cites.
Towards AI Research Agents in the Chemical Sciences, January 2024
Ofer Shir · 2024
Later among the works it cites.
Large-language models: The game-changers for materials science research
Songlin Yu, Nian Ran, and Jianjun Liu · 2024
Later among the works it cites.
A multi-agent-driven robotic AI chemist enabling autonomous chemical research on demand, July 2024
Tao Song, Man Luo, Linjiang Chen, Yan Huang, Qing Zhu, Daobin Liu, Baicheng Zhang, Gang Zou, Fei Zhang, Weiwei Shang, Jun Jiang, and Yi Luo · 2024
Later among the works it cites.
The Digital Lab Facility Manager: Automating operations of research laboratories through “The World Avatar”
Simon D. Rihm, Yong Ren Tan, Wilson Ang, Hou Yee Quek, Xinhong Deng, Michael Teguh Laksana, Jiaru Bai, Sebastian Mosbach, Jethro Akroyd, and Markus Kraft · 2024
Later among the works it cites.
Empowering biomedical discovery with AI agents
Shanghua Gao, Ada Fang, Yepeng Huang, Valentina Giunchiglia, Ayush Noori, Jonathan Richard Schwarz, Yasha Ektefaie, Jovana Kondic, and Marinka Zitnik · 2024
Later among the works it cites.
Ruochen Li, Teerth Patel, Qingyun Wang, and Xinya Du · 2024
Later among the works it cites.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery, September 2024
Chris Lu, Cong Lu, Robert Tjarko Lange, Jakob Foerster, Jeff Clune, and David Ha · 2024
Later among the works it cites.
LAB-Bench: Measuring Capabilities of Language Models for Biology Research, July 2024
Jon M. Laurent, Joseph D. Janizek, Michael Ruzo, Michaela M. Hinks, Michael J. Hammerling, Siddharth Narayanan, Manvitha Ponnapati, Andrew D. White, and Samuel G. Rodriques · 2024
Later among the works it cites.
Exploring diverse methods in visual question answering
Panfeng Li, Qikai Yang, Xieming Geng, Wenjing Zhou, Zhicheng Ding, and Yi Nian · 2024
Later among the works it cites.
Urban design and pollution using ai: Implications for urban development in china
Xinyue Zheng, Zhenya Ma, and Zhao Yuang · 2024
Later among the works it cites.
Mapping the molecular progression of human coronary atherosclerosis confirms key role of smooth muscle cell phenotype and highlights novel regulators of phenotypic fate
Sarah Parker, Chunhong Mao, Yizhi Wang, Austin Seals, Do-Kyun Kim, Yingzhou Lu, saurabh bhardwaj, Dongping Du, Genesio Karere, David Caudell, et al · 2024
Later among the works it cites.
Enhance image-to-image generation with llava-generated prompts
Zhicheng Ding, Panfeng Li, Qikai Yang, and Siyang Li · 2024
Later among the works it cites.
Pettingzoo (multi-agent reinforcement learning environments)
Farama Foundation · 2024
Later among the works it cites.
Artificial intelligence-aided digital twin design: A systematic review
Nan Hao, Yuangang Li, Kecheng Liu, Songtao Liu, Bohao Xu, Chenhao Li, Jintai Chen, Ling Yue, Tianfan Fu, et al · 2024
Later among the works it cites.
Hades: Hardware accelerated decoding for efficient speculation in large language models
Ze Yang, Yihong Jin, and Xinhe Xu · 2024
Later among the works it cites.
Optimization and application of cloud-based deep learning architecture for multi-source data prediction, 2024
Yang Zhang, Fa Wang, Xin Huang, Xintao Li, Sibei Liu, and Hansong Zhang · 2024
Later among the works it cites.
Large language models for forecasting and anomaly detection: A systematic literature review
Jing Su, Chufeng Jiang, Xin Jin, Yuxin Qiao, Tingsong Xiao, Hongda Ma, Rong Wei, Zhi Jing, Jiajun Xu, and Junhong Lin · 2024
Later among the works it cites.
Yihong Jin and Ze Yang · 2024
Later among the works it cites.
Seamcarver: Llm-enhanced content-aware image resizing
Dong Liu, Yanxuan Yu, Lianghao Tan, Wenjun Wu, Bide Zhao, Zichao Li, Bingjie Lu, and Yijie Wen · 2024
Later among the works it cites.
Federated learning for smart grid: A survey on applications and potential vulnerabilities
Zikai Zhang, Suman Rath, Jiaohao Xu, and Tingsong Xiao · 2024
Later among the works it cites.
Measuring digitalization capabilities using machine learning
Jinglan Yang, Jianghuai Liu, Zheng Yao, and Chaoqun Ma · 2024
Later among the works it cites.
Blockchain governance: a bibliometric study and content analysis
Jinglan Yang, Chaoqun Ma, Shisong Hsiao, and Jianghuai Liu · 2024
Later among the works it cites.
Towards foundation-model-based multiagent system to accelerate ai for social impact
Yunfan Zhao, Niclas Boehmer, Aparna Taneja, and Milind Tambe · 2024
Later among the works it cites.
Sparsebf: Enhancing scalability and efficiency for sparsely filled privacy-preserving record linkage
Han Xu, Yuhong Shao, Kareem Benaissa, and Yutong Li · 2024
Later among the works it cites.
Multiple distresses detection for asphalt pavement using improved you only look once algorithm based on convolutional neural network
Han-Cheng Dan, Peng Yan, Jiawei Tan, Yinchao Zhou, and Bingjie Lu · 2024
Later among the works it cites.
Dpl-slam: enhancing dynamic point-line slam through dense semantic methods
Zhihao Lin, Qi Zhang, Zhen Tian, Peizhuo Yu, and Jianglin Lan · 2024
Later among the works it cites.
Political-llm: Large language models in political science
Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, et al · 2024
Later among the works it cites.
Pargo: Bridging vision-language with partial and global views
An-Lan Wang, Bin Shan, Wei Shi, Kun-Yu Lin, Xiang Fei, Guozhi Tang, Lei Liao, Jingqun Tang, Can Huang, and Wei-Shi Zheng · 2024
Later among the works it cites.
Podb: A learning-based polarimetric object detection benchmark for road scenes in adverse weather conditions
Zhen Zhu, Xiaobo Li, Jingsheng Zhai, and Haofeng Hu · 2024
Later among the works it cites.
Towards real-time and personalized code generation
Han Xu, Xingyuan Wang, and Haipeng Chen · 2024
Later among the works it cites.
Fdnet: Fourier transform guided dual-channel underwater image enhancement diffusion network
Zhen Zhu, Xiaobo Li, Qianwen Ma, Jingsheng Zhai, and Haofeng Hu · 2025
Closest in time.
Fine-grained control of generative data augmentation in iot sensing
Tianshi Wang, Qikai Yang, Ruijie Wang, Dachun Sun, Jinyang Li, Yizhuo Chen, Yigong Hu, Chaoqi Yang, Tomoyoshi Kimura, Denizhan Kara, et al · 2025
Closest in time.
From theory to play: A review of eeg-controlled directional games and evaluation of custom-developed bci games
Wensi Xie, Jingwen Dou, Yiran Wang, and Xiaodong Qu · 2025
Closest in time.
Active disturbance rejection control—new trends in agricultural cybernetics in the future: A comprehensive review
Yu-Hao Tu, Rui-Feng Wang, and Wen-Hao Su · 2025
Closest in time.
Individual variations in glycemic responses to carbohydrates and underlying metabolic physiology
Yue Wu, Ben Ehlert, Ahmed A Metwally, Dalia Perelman, Heyjun Park, Andrew Wallace Brooks, Fahim Abbasi, Basil Michael, Alessandra Celli, Caroline Bejikian, et al · 2025
Closest in time.
iddn: determining trans-omics network structure and rewiring with integrative differential dependency networks
Yizhi Wang, Yi Fu, Zhen Zhang, Robert Clarke, Sarah J Parker, David M Herrington, Guoqiang Yu, and Yue Wang · 2025
Closest in time.
Application of ai in real-time credit risk detection
Zhuqi Wang, Qinghe Zhang, and Zhuopei Cheng · 2025
Closest in time.
Regression and forecasting of us stock returns based on lstm
Shicheng Zhou, Zizhou Zhang, Rong Zhang, Yuchen Yin, Chia Hong Chang, and Qinyan Shen · 2025
Closest in time.
Ad placement optimization algorithm combined with machine learning in internet e-commerce
Haoyang Feng and Yuan Gao · 2025
Closest in time.
Detection of ai deepfake and fraud in online payments using gan-based models
Zong Ke, Shicheng Zhou, Yining Zhou, Chia Hong Chang, and Rong Zhang · 2025
Closest in time.
Generative ai tools in higher education: A meta-analysis of cognitive impact
Xiaodong Qu, Joshua Sherwood, Peiyan Liu, and Nawwaf Aleisa · 2025
Closest in time.
Carla (autonomous driving simulator)
CARLA · 2025
Closest in time.
Robocup soccer simulator
The RoboCup Soccer Simulator · 2025
Closest in time.
Amazon-m2 product recommendation in underrepresented locales using chatgpt4o-mini and gemini models
Qicheng Chen and Xiaodong Qu · 2025
Closest in time.
Association of composite dietary antioxidant index with circadian syndrome: evidence from nhanes
Chen Chen, Chenyu Zhao, Hongyu Jin, Zhiping Jiang, Wei Wang, and Wen-Yang Li · 2025
Closest in time.
Slam2: Simultaneous localization and multimode mapping for indoor dynamic environments
Zhihao Lin, Qi Zhang, Zhen Tian, Peizhuo Yu, Ziyang Ye, Hanyang Zhuang, and Jianglin Lan · 2025
Closest in time.
Gradient ga: Gradient genetic algorithm for drug molecular design
Chris Zhuang, Debadyuti Mukherjee, Tianfan Fu, and Ruqi Zhang · 2025
Closest in time.
Enhancing thyroid disease prediction using machine learning: A comparative study of ensemble models and class balancing techniques
Jiachen Zhong and Yiting Wang · 2025
Closest in time.
Ct-patchtst: Channel-time patch time-series transformer for long-term renewable energy forecasting, 2025
Menghao Huo, Kuan Lu, Yuxiao Li, and Qiang Zhu · 2025
Closest in time.