- Thanh Thi Nguyen, Cuong M. Nguyen, Thien Huynh-The, Quoc-Viet Pham, Quoc Viet Hung Nguyen, Imran Razzak, Vijay Janapa Reddi:
Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules. ICCS (2) 2023: 298-305 - 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. ICDE 2023: 3389-3402 - Jitao Wang, Chengchun Shi, Zhenke Wu:
A Robust Test for the Stationarity Assumption in Sequential Decision Making. ICML 2023: 36355-36379 - Bin Zhang, Lijuan Li, Zhiwei Xu, Dapeng Li, Guoliang Fan:
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning. IJCAI 2023: 353-361 - Sapana Chaudhary:
On Adaptivity and Safety in Sequential Decision Making. IJCAI 2023: 7077-7078 - Mojtaba Taherisadr, Stelios Andrew Stavroulakis, Salma Elmalaki:
adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential Decision Making Human-in-the-Loop Systems. IoTDI 2023: 262-274 - Kairui Wang, Yawen Wang, Junjie Wang, Qing Wang:
Fuzzing with Sequence Diversity Inference for Sequential Decision-making Model Testing. ISSRE 2023: 706-717 - Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song:
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring. KDD 2023: 5016-5027 - Pulkit Verma, Rushang Karia, Siddharth Srivastava:
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings. NeurIPS 2023 - Nicolas Emmenegger, Mojmir Mutny, Andreas Krause:
Likelihood Ratio Confidence Sets for Sequential Decision Making. NeurIPS 2023 - Ting Li, Chengchun Shi, Jianing Wang, Fan Zhou, Hongtu Zhu:
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making. NeurIPS 2023 - Yunchang Yang, Han Zhong, Tianhao Wu, Bin Liu, Liwei Wang, Simon S. Du:
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback. NeurIPS 2023 - Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang:
CONSEQUENCES - The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys 2023: 1223-1226 - Qinghua Liu, Praneeth Netrapalli, Csaba Szepesvári, Chi Jin:
Optimistic MLE: A Generic Model-Based Algorithm for Partially Observable Sequential Decision Making. STOC 2023: 363-376 - Jaeung Lee, Yooeui Jin, Sungwook Jang, Young Jae Jang, Il Kyu Lim, Seungmin Jeong, Eoksu Sim:
Sequential Decision-Making Framework for Robotic Mobile Fulfillment System-Based Automated Kitting System. WSC 2023: 1972-1983 - Pratik Gajane:
Local Differential Privacy for Sequential Decision Making in a Changing Environment. CoRR abs/2301.00561 (2023) - Samer B. Nashed, Justin Svegliato, Su Lin Blodgett:
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities. CoRR abs/2301.05753 (2023) - Nandan Sriranga, Baocheng Geng, Pramod K. Varshney:
Sequential Processing of Observations in Human Decision-Making Systems. CoRR abs/2301.07767 (2023) - Shujian Yu, Hongming Li, Sigurd Løkse, Robert Jenssen, José C. Príncipe:
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making. CoRR abs/2301.08970 (2023) - Yunchang Yang, Han Zhong, Tianhao Wu, Bin Liu, Liwei Wang, Simon S. Du:
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback. CoRR abs/2302.01477 (2023) - Johannes Kirschner, Tor Lattimore, Andreas Krause:
Linear Partial Monitoring for Sequential Decision-Making: Algorithms, Regret Bounds and Applications. CoRR abs/2302.03683 (2023) - Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht:
Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making. CoRR abs/2302.10809 (2023) - Mojtaba Taherisadr, Stelios Andrew Stavroulakis, Salma Elmalaki:
adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential-Decision Making Human-in-the-Loop Systems. CoRR abs/2303.04257 (2023) - Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song:
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring. CoRR abs/2304.00420 (2023) - Bryan Brandt, Prithviraj Dasgupta:
Synthetically Generating Human-like Data for Sequential Decision Making Tasks via Reward-Shaped Imitation Learning. CoRR abs/2304.07280 (2023) - Bin Zhang, Lijuan Li, Zhiwei Xu, Dapeng Li, Guoliang Fan:
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning. CoRR abs/2304.10351 (2023) - 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)