Deep multimodal representation learning: A survey
Wenzhong Guo, Jianwen Wang, and Shiping Wang · 2019
Later among the works it cites.
The use of ontology in retrieval: a study on textual, multilingual, and multimedia retrieval
Muhammad Nabeel Asim, Muhammad Wasim, Muhammad Usman Ghani Khan, Nasir Mahmood, and Waqar Mahmood · 2019
Later among the works it cites.
Theory of mind as inverse reinforcement learning
Julian Jara-Ettinger · 2019
Later among the works it cites.
A survey of the consensus for multi-agent systems
Yanjiang Li and Chong Tan · 2019
Later among the works it cites.
Survey of agent-based cloud computing applications
Fernando De la Prieta, Sara Rodríguez-González, Pablo Chamoso, Juan Manuel Corchado, and Javier Bajo · 2019
Later among the works it cites.
A survey and critique of multiagent deep reinforcement learning
Pablo Hernandez-Leal, Bilal Kartal, and Matthew E Taylor · 2019
Later among the works it cites.
Context-aware multi-agent planning in intelligent environments
Houda Haiouni and Ramdane Maamri · 2019
Later among the works it cites.
Set transformer: A framework for attention-based permutation-invariant neural networks
Juho Lee, Yoonho Lee, Jungtaek Kim, Adam Kosiorek, Seungjin Choi, and Yee Whye Teh · 2019
Later among the works it cites.
Policy continuation with hindsight inverse dynamics
Hao Sun, Zhizhong Li, Xiaotong Liu, Bolei Zhou, and Dahua Lin · 2019
Later among the works it cites.
Context aware recommendation systems: A review of the state of the art techniques
Saurabh Kulkarni and Sunil F Rodd · 2020
Later among the works it cites.
A comprehensive survey on graph neural networks
Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, and S Yu Philip · 2020
Later among the works it cites.
Deep learning on graphs: A survey
Ziwei Zhang, Peng Cui, and Wenwu Zhu · 2020
Later among the works it cites.
Deep reinforcement learning for multiagent systems: A review of challenges, solutions, and applications
Thanh Thi Nguyen, Ngoc Duy Nguyen, and Saeid Nahavandi · 2020
Later among the works it cites.
Delay-aware multi-agent reinforcement learning for cooperative and competitive environments
Original
Baiming Chen, Mengdi Xu, Zuxin Liu, Liang Li, and Ding Zhao · 2020
Later among the works it cites.
Offline reinforcement learning: Tutorial, review, and perspectives on open problems
Original
Sergey Levine, Aviral Kumar, George Tucker, and Justin Fu · 2020
Later among the works it cites.
An ontology-based context model in intelligent environments
Original
Tao Gu, Xiao Hang Wang, Hung Keng Pung, and Da Qing Zhang · 2020
Later among the works it cites.
Ontology-based context modeling in physical asset integrity management
Ali Al-Shdifat, Christos Emmanouilidis, Muhammad Khan, and Andrew G Starr · 2020
Later among the works it cites.
Dynamic and static context-aware lstm for multi-agent motion prediction
Chaofan Tao, Qinhong Jiang, Lixin Duan, and Ping Luo · 2020
Later among the works it cites.
Human motion trajectory prediction: A survey
Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M Kitani, Dariu M Gavrila, and Kai O Arras · 2020
Later among the works it cites.
A survey on deep learning for multimodal data fusion
Jing Gao, Peng Li, Zhikui Chen, and Jianing Zhang · 2020
Later among the works it cites.
Intent-aware pedestrian prediction for adaptive crowd navigation
Kapil D Katyal, Gregory D Hager, and Chien-Ming Huang · 2020
Later among the works it cites.
Model-driven development of self-adaptive multi-agent systems with context-awareness
Farid Feyzi · 2020
Later among the works it cites.
Context-aware scheduling in fog computing: A survey, taxonomy, challenges and future directions
Mir Salim Ul Islam, Ashok Kumar, and Yu-Chen Hu · 2021
Later among the works it cites.
Survey on context-aware healthcare systems
Hamed Vahdat-Nejad, Zahra Abbasi-Moud, Seyed Abolfazl Eslami, and Wathiq Mansoor · 2021
Later among the works it cites.
A survey on knowledge graphs: Representation, acquisition, and applications
Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, and S Yu Philip · 2021
Later among the works it cites.
A survey on techniques in the circular formation of multi-agent systems
Hamida Litimein, Zhen-You Huang, and Ameer Hamza · 2021
Later among the works it cites.
Multi-agent reinforcement learning: A selective overview of theories and algorithms
Kaiqing Zhang, Zhuoran Yang, and Tamer Başar · 2021
Later among the works it cites.
Congestion-aware multi-agent trajectory prediction for collision avoidance
Xu Xie, Chi Zhang, Yixin Zhu, Ying Nian Wu, and Song-Chun Zhu · 2021
Later among the works it cites.
A survey of underwater multi-robot systems
Ziye Zhou, Jincun Liu, and Junzhi Yu · 2021
Later among the works it cites.
Formation control algorithms for multiple-uavs: a comprehensive survey
Hai T Do, Hoang T Hua, Minh T Nguyen, Cuong V Nguyen, Hoa TT Nguyen, Hoa T Nguyen, and Nga TT Nguyen · 2021
Later among the works it cites.
Celebrating diversity in shared multi-agent reinforcement learning
Chenghao Li, Tonghan Wang, Chengjie Wu, Qianchuan Zhao, Jun Yang, and Chongjie Zhang · 2021
Later among the works it cites.
Midas: Multi-agent interaction-aware decision-making with adaptive strategies for urban autonomous navigation
Xiaoyi Chen and Pratik Chaudhari · 2021
Later among the works it cites.
A survey of transformers
Tianyang Lin, Yuxin Wang, Xiangyang Liu, and Xipeng Qiu · 2022
Later among the works it cites.
Consensus in multi-agent systems: a review
Abdollah Amirkhani and Amir Hossein Barshooi · 2022
Later among the works it cites.
Multi-agent deep reinforcement learning: a survey
Sven Gronauer and Klaus Diepold · 2022
Later among the works it cites.
A path towards autonomous machine intelligence version 0.9. 2, 2022-06-27
Yann LeCun · 2022
Later among the works it cites.
Multi-agent interaction to assist visually-impaired and elderly people
Juliana Damasio Oliveira, Debora C Engelmann, Davi Kniest, Renata Vieira, and Rafael H Bordini · 2022
Later among the works it cites.
An overview of opponent modeling for multi-agent competition
Lu Liu, Jie Yang, Yaoyuan Zhang, Jingci Zhang, and Yuxi Ma · 2022
Later among the works it cites.
Quantifying the effects of environment and population diversity in multi-agent reinforcement learning
Kevin R McKee, Joel Z Leibo, Charlie Beattie, and Richard Everett · 2022
Later among the works it cites.
Situation aware intelligent reasoning during disaster situation in smart cities
Kiran Saleem, Salwa Muhammad Akhtar, Makia Nazir, Ahmad S Almadhor, Yousaf Bin Zikria, Rana Zeeshan Ahmad, and Sung Won Kim · 2022
Later among the works it cites.
Density-aware decentralised multi-agent exploration with energy constraint based on optimal transport theory
Kooktae Lee and Rabiul Hasan Kabir · 2022
Later among the works it cites.
Intent-aware interactive internet of things for enhanced collaborative ambient intelligence
Chaoran Huang, Lina Yao, Xianzhi Wang, Quan Z Sheng, Schahram Dustdar, Zhongjie Wang, and Xiaofei Xu · 2022
Later among the works it cites.
Formalizing distributed situation awareness in multi-agent networks
Sagir M Yusuf and Chris Baber · 2022
Later among the works it cites.
A multi-agent system for context-aware electric vehicle fleet routing: A step towards more sustainable urban operations
Goran Jelen, Jurica Babic, and Vedran Podobnik · 2022
Later among the works it cites.
Utility-based context-aware multi-agent recommendation system for energy efficiency in residential buildings
Original
Valentyna Riabchuk, Leon Hagel, Felix Germaine, and Alona Zharova · 2022
Later among the works it cites.
A survey of adaptive multi-agent networks and their applications in smart cities
Nasim Nezamoddini and Amirhosein Gholami · 2022
Later among the works it cites.
Sparks of artificial general intelligence: Early experiments with gpt-4
Original
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al · 2023
Later among the works it cites.
Adapt and overcome: Perceptions of adaptive autonomous agents for human-ai teaming
Allyson I Hauptman, Beau G Schelble, Nathan J McNeese, and Kapil Chalil Madathil · 2023
Later among the works it cites.
Context-aware recommender systems and cultural heritage: a survey
Mario Casillo, Francesco Colace, Dajana Conte, Marco Lombardi, Domenico Santaniello, and Carmine Valentino · 2023
Later among the works it cites.
Multimodal learning with transformers: A survey
Peng Xu, Xiatian Zhu, and David A Clifton · 2023
Later among the works it cites.
A survey of multi-agent systems on distributed formation control
Yefeng Liu, Jingjing Liu, Zengpeng He, Zhenhong Li, Qichun Zhang, and Zhengtao Ding · 2023
Later among the works it cites.
Metagpt: Meta programming for multi-agent collaborative framework
Original
Sirui Hong, Xiawu Zheng, Jonathan Chen, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, et al · 2023
Later among the works it cites.
Promptbreeder: Self-referential self-improvement via prompt evolution
Original
Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, Simon Osindero, and Tim Rocktäschel · 2023
Later among the works it cites.
Multi-agent reinforcement learning: Methods, applications, visionary prospects, and challenges
Original
Ziyuan Zhou, Guanjun Liu, and Ying Tang · 2023
Later among the works it cites.
Communicative agents for software development
Original
Chen Qian, Xin Cong, Cheng Yang, Weize Chen, Yusheng Su, Juyuan Xu, Zhiyuan Liu, and Maosong Sun · 2023
Later among the works it cites.
Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors in agents
Original
Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chen Qian, Chi-Min Chan, Yujia Qin, Yaxi Lu, Ruobing Xie, et al · 2023
Later among the works it cites.
Reinforcement learning algorithms: A brief survey
Ashish Kumar Shakya, Gopinatha Pillai, and Sohom Chakrabarty · 2023
Later among the works it cites.
A survey of an intelligent multi-agent formation control
Qijie Chen, Yao Wang, Yuqiang Jin, Taoyu Wang, Xinhua Nie, and Tinglong Yan · 2023
Later among the works it cites.
Switching-aware multi-agent deep reinforcement learning for target interception
Dongyu Fan, Haikuo Shen, and Lijing Dong · 2023
Later among the works it cites.
Intent-aware autonomous driving: A case study on highway merging scenarios
Original
Nishtha Mahajan and Qi Zhang · 2023
Later among the works it cites.
Intent-aware planning in heterogeneous traffic via distributed multi-agent reinforcement learning
Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit Bedi, and Dinesh Manocha · 2023
Later among the works it cites.
A context-aware multi-agent reasoning based intelligent assistive formalism
Shahid Yousaf, Hafiz Mahfooz Ul Haque, Muhammad Atif, Muhammad Adnan Hashmi, Abbas Khalid, and Phan Cong Vinh · 2023
Later among the works it cites.
From reactive to active sensing: A survey on information gathering in decision-theoretic planning
Tiago Veiga and Jennifer Renoux · 2023
Later among the works it cites.
A survey on large language model based autonomous agents
Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, et al · 2024
Closest in time.
Direct preference optimization: Your language model is secretly a reward model
Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D Manning, Stefano Ermon, and Chelsea Finn · 2024
Closest in time.
A survey of multi-agent deep reinforcement learning with communication
Changxi Zhu, Mehdi Dastani, and Shihan Wang · 2024
Closest in time.
Self-refine: Iterative refinement with self-feedback
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, et al · 2024
Closest in time.