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2020 – today
- 2025
[j2]Yajie Bao
, Dan Shen, Genshe Chen, Hao Xu, Samson Badlia, Simon Khan, Erik Blasch, Khanh D. Pham:
Feedback for Improved Hierarchical Reinforcement Learning With Timed Subgoals. IEEE Control. Syst. Lett. 9: 2501-2506 (2025)- [c13]Zilong Deng, Simon Khan, Shaofeng Zou:
Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model. AISTATS 2025: 3907-3915 - [c12]Qi Zhang, Yi Zhou, Simon Khan, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou:
Revisiting Large-Scale Non-convex Distributionally Robust Optimization. ICLR 2025 - [c11]Rui Zuo, Simon Khan, Zifan Wang, Garrett Ethan Katz, Qinru Qiu:
Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learning. IJCAI 2025: 655-663 - [c10]Yiming Bu, Simon Khan, Jiayang Liu, Qinru Qiu:
Event Prediction and Quality-adaptive Attention for Energy and Data Efficient Dynamic Visual Sensing. IJCNN 2025: 1-8 - [i12]Zilong Deng, Simon Khan, Shaofeng Zou:
Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model. CoRR abs/2503.08934 (2025) - [i11]Shuang Ao, Flora D. Salim, Simon Khan:
EMAC+: Embodied Multimodal Agent for Collaborative Planning with VLM+LLM. CoRR abs/2505.19905 (2025) - [i10]Ruipeng Liu, Qinru Qiu, Simon Khan, Garrett E. Katz:
Linearithmic Clean-up for Vector-Symbolic Key-Value Memory with Kroneker Rotation Products. CoRR abs/2506.15793 (2025) - [i9]Qinwei Huang, Stefan Wang, Simon Khan, Garrett E. Katz, Qinru Qiu:
Predictive Auxiliary Learning for Belief-based Multi-Agent Systems. CoRR abs/2511.01078 (2025) - 2024
- [j1]Simon Khan, Charles Devlen, Michael Manno, Daqing Hou:
Mouse Dynamics Behavioral Biometrics: A Survey. ACM Comput. Surv. 56(6): 154:1-154:33 (2024) - [c9]Swati Kar, Mahesh K. Banavar, Soumyabrata Dey, Allan Salihovic, Simon Khan, Jason R. Bryant:
Comparison of Explainability Approaches for Reinforcement Learning for Autonomous Flight Maneuvers. IEEECONF 2024: 1372-1376 - [c8]Simon Khan, Shageenth Sandrakumar:
Fusion of Decision Scores Utilizing Machine Learning Algorithms to Authenticate Users Based on Mouse Dynamics Modality. ICECET 2024: 1-7 - [c7]Rashedul Islam, Md. Shahanur Alam, Chris Yakopcic, Nayim Rahman, Simon Khan, Tarek M. Taha:
Unsupervised Anomaly Detection for Automotive CAN Bus on the Intel Loihi. IJCNN 2024: 1-8 - [i8]Shuang Ao, Simon Khan, Haris Aziz, Flora D. Salim:
REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability. CoRR abs/2406.14214 (2024) - [i7]Qinwei Huang, Chen Luo, Alex B. Wu, Simon Khan, Hai Li, Qinru Qiu:
Multi-agent Cooperative Games Using Belief Map Assisted Training. CoRR abs/2406.19477 (2024) - [i6]Walt Woods, Alexander Grushin, Simon Khan, Alvaro Velasquez:
Combining AI Control Systems and Human Decision Support via Robustness and Criticality. CoRR abs/2407.03210 (2024) - [i5]Alexander Grushin, Walt Woods, Alvaro Velasquez, Simon Khan:
Criticality and Safety Margins for Reinforcement Learning. CoRR abs/2409.18289 (2024) - [i4]Rui Zuo, Zifan Wang, Simon Khan, Garrett E. Katz, Qinru Qiu:
Why the Agent Made that Decision: Explaining Deep Reinforcement Learning with Vision Masks. CoRR abs/2411.16120 (2024) - 2023
- [c6]Simon Khan, Daqing Hou:
User Authentication by Fusion of Mouse Dynamics and Widget Interactions: Two Experiments with PayPal and Facebook. CCNC 2023: 248-254 - [c5]Chen Luo, Qinwei Huang, Alex B. Wu, Simon Khan, Hai Li, Qinru Qiu:
Multi-Agent Cooperative Games Using Belief Map Assisted Training. ECAI 2023: 1617-1624 - [c4]Huong N. Dang, Kuo-Chu Chang, Genshe Chen, Hua-mei Chen, Simon Khan, Milvio Franco, Erik Blasch:
Scheduling Condition-based Maintenance: An Explainable Deep Reinforcement Learning Approach via Reward Decomposition. FUSION 2023: 1-8 - [c3]Alexander Grushin, Walt Woods, Alvaro Velasquez, Simon Khan:
Safety Margins for Reinforcement Learning. CAI 2023: 42-43 - [i3]Alexander Grushin, Walt Woods, Alvaro Velasquez, Simon Khan:
Safety Margins for Reinforcement Learning. CoRR abs/2307.13642 (2023) - [i2]Timothy K. Mathes, Jessica L. Inman, Andrés Colón, Simon Khan:
CODEX: A Cluster-Based Method for Explainable Reinforcement Learning. CoRR abs/2312.04216 (2023) - 2022
- [i1]Simon Khan, Daqing Hou:
Mouse Dynamics Behavioral Biometrics: A Survey. CoRR abs/2208.09061 (2022) - 2021
- [c2]Simon Khan, Cooper Fraser, Daqing Hou, Mahesh K. Banavar, Stephanie Schuckers:
Authenticating Facebook Users Based on Widget Interaction Behavior. CCNC 2021: 1-8 - [c1]Chen Luo, Qinwei Huang, Fanxin Kong, Simon Khan, Qinru Qiu:
Applying Machine Learning in Designing Distributed Auction for Multi-agent Task Allocation with Budget Constraints. ICAR 2021: 356-363
Coauthor Index
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