- Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares:
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making. CoRR abs/2304.10590 (2023) - Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma:
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. CoRR abs/2305.04832 (2023) - Xuanjie Fang, Sijie Cheng, Yang Liu, Wei Wang:
Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making. CoRR abs/2305.17440 (2023) - Pulkit Verma, Rushang Karia, Siddharth Srivastava:
Autonomous Capability Assessment of Black-Box Sequential Decision-Making Systems. CoRR abs/2306.04806 (2023) - Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Haifeng Zhang, Weinan Zhang:
Large Sequence Models for Sequential Decision-Making: A Survey. CoRR abs/2306.13945 (2023) - Nuoya Xiong, Zhaoran Wang, Zhuoran Yang:
A General Framework for Sequential Decision-Making under Adaptivity Constraints. CoRR abs/2306.14468 (2023) - Nikhil Chandak, Shashwat Goel, Dominik Peters:
Proportional Aggregation of Preferences for Sequential Decision Making. CoRR abs/2306.14858 (2023) - Tianyu Zhao, Mojtaba Taherisadr, Salma Elmalaki:
FAIRO: Fairness-aware Adaptation in Sequential-Decision Making for Human-in-the-Loop Systems. CoRR abs/2307.05857 (2023) - Yunhao Yang, Cyrus Neary, Ufuk Topcu:
Multimodal Pretrained Models for Sequential Decision-Making: Synthesis, Verification, Grounding, and Perception. CoRR abs/2308.05295 (2023) - Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang:
Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making. CoRR abs/2309.03426 (2023) - Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares:
Towards a Unified Framework for Sequential Decision Making. CoRR abs/2310.02167 (2023) - Ressi Bonti Muhammad, Sergey Alyaev, Reidar Brumer Bratvold:
Optimal Sequential Decision-Making in Geosteering: A Reinforcement Learning Approach. CoRR abs/2310.04772 (2023) - Yuchen Xiao, Yanchao Sun, Mengda Xu, Udari Madhushani, Jared Vann, Deepeka Garg, Sumitra Ganesh:
O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models. CoRR abs/2310.14403 (2023) - Kartik Nagpal, Negar Mehr:
Optimal Robotic Assembly Sequence Planning: A Sequential Decision-Making Approach. CoRR abs/2310.17115 (2023) - Georgy Noarov, Ramya Ramalingam, Aaron Roth, Stephan Xie:
High-Dimensional Prediction for Sequential Decision Making. CoRR abs/2310.17651 (2023) - Piyush Gupta, Subir Biswas, Vaibhav Srivastava:
Fostering Human Learning in Sequential Decision-Making: Understanding the Role of Evaluative Feedback. CoRR abs/2311.03486 (2023) - Nicolas Emmenegger, Mojmír Mutný, Andreas Krause:
Likelihood Ratio Confidence Sets for Sequential Decision Making. CoRR abs/2311.04402 (2023) - Dogacan Yilmaz, I. Esra Büyüktahtakin:
An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making. CoRR abs/2311.06972 (2023) - Meng-Che Chang, Matthieu R. Bloch:
Covert Online Decision Making: From Sequential Hypothesis Testing to Stochastic Bandits. CoRR abs/2311.12176 (2023) - Yuhan Li, Hongtao Zhang, Keaven Anderson, Songzi Li, Ruoqing Zhu:
AI in Pharma for Personalized Sequential Decision-Making: Methods, Applications and Opportunities. CoRR abs/2311.18725 (2023) - Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu:
Generalization to New Sequential Decision Making Tasks with In-Context Learning. CoRR abs/2312.03801 (2023) - Parand Alizadeh Alamdari, Toryn Q. Klassen, Elliot Creager, Sheila A. McIlraith:
Remembering to Be Fair: On Non-Markovian Fairness in Sequential Decision Making (Preliminary Report). CoRR abs/2312.04772 (2023) - Quentin Mazouni, Helge Spieker, Arnaud Gotlieb, Mathieu Acher:
A Review of Validation and Verification of Neural Network-based Policies for Sequential Decision Making. CoRR abs/2312.09680 (2023) - 2022
- Grigory Neustroev:
Generalized Models of Sequential Decision-Making under Uncertainty. Delft University of Technology, Netherlands, 2022 - Yue Shi:
Data-Driven sequential decision making with learning under ambiguity. Texas Tech University, Lubbock, USA, 2022 - Shiqi Zhang, Mohan Sridharan:
A Survey of Knowledge-Based Sequential Decision-Making under Uncertainty. AI Mag. 43(2): 249-266 (2022) - I-Ming Jiang, Yu-Hong Liu, Sutee Pakavaleetorn:
Optimal Sequential Investment Decision-Making with Jump Risk. Asia Pac. J. Oper. Res. 39(4): 2140035:1-2140035:19 (2022) - Émiland Garrabé, Giovanni Russo:
Probabilistic design of optimal sequential decision-making algorithms in learning and control. Annu. Rev. Control. 54: 81-102 (2022) - Vahid Azimirad, Mohammad Tayefe Ramezanlou, Saleh Valizadeh Sotubadi, Farrokh Janabi-Sharifi:
A consecutive hybrid spiking-convolutional (CHSC) neural controller for sequential decision making in robots. Neurocomputing 490: 319-336 (2022) - Saleh ALFahad, Christos Anagnostopoulos, Kostas Kolomvatsos:
Time-optimized sequential decision making for service management in smart city environments. J. Smart Cities Soc. 1(4): 277-299 (2022)