Sarra Alqahtani

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 17

Top Topics

Metric Temporal Logic

Reinforcement Learning

Computing Environments

Top Venues

Publications

Tongtong Liu, Joe McCalmon, Thai Le, Md Asifur Rahman, Dongwon Lee, Sarra Alqahtani
A novel policy-graph approach with natural language and counterfactual abstractions for explaining reinforcement learning agents. Auton. Agents Multi Agent Syst. 37 (2) (2023)
Joe McCalmon, Tongtong Liu, Reid Goldsmith, Andrew Cyhaniuk, Talal Halabi, Sarra Alqahtani
Safe Reinforcement Learning via Observation Shielding. HICSS (2023)
Md Asifur Rahman, Sarra Alqahtani
Task-Agnostic Safety for Reinforcement Learning. AISec@CCS (2023)
Md Asifur Rahman, Tongtong Liu, Sarra Alqahtani
Adversarial Behavior Exclusion for Safe Reinforcement Learning. IJCAI (2023)
Kangning Cui, Seda Camalan, Ruoning Li, Victor Paul Pauca, Sarra Alqahtani, Robert J. Plemmons, Miles Silman, Evan Nylen Dethier, David A. Lutz, Raymond H. Chan
Semi-supervised Change Detection of Small Water Bodies Using RGB and Multispectral Images in Peruvian Rainforests. CoRR (2022)
Talal Halabi, Aawista Chaudhry, Sarra Alqahtani, Mohammad Zulkernine
A Scary Peek into The Future: Advanced Persistent Threats in Emerging Computing Environments. DSC (2022)
Kangning Cui, Seda Camalan, Ruoning Li, Victor Paúl Pauca, Sarra Alqahtani, Robert J. Plemmons, Miles Silman, Evan Nylen Dethier, David A. Lutz, Raymond H. Chan
Semi-Supervised Change Detection Of Small Water Bodies Using Rgb And Multispectral Images In Peruvian Rainforests. WHISPERS (2022)
Seda Camalan, Kangning Cui, Victor Paul Pauca, Sarra Alqahtani, Miles Silman, Raymond H. Chan, Robert J. Plemmons, Evan Nylen Dethier, Luis E. Fernandez, David A. Lutz
Change Detection of Amazonian Alluvial Gold Mining Using Deep Learning and Sentinel-2 Imagery. Remote. Sens. 14 (7) (2022)
Tongtong Liu, Joe McCalmon, Md Asifur Rahman, Cameron Lischke, Talal Halabi, Sarra Alqahtani
Weaponizing Actions in Multi-Agent Reinforcement Learning: Theoretical and Empirical Study on Security and Robustness. PRIMA (2022)
Joe McCalmon, Thai Le, Sarra Alqahtani, Dongwon Lee
CAPS: Comprehensible Abstract Policy Summaries for Explaining Reinforcement Learning Agents. AAMAS (2022)
Cameron Lischke, Tongtong Liu, Joe McCalmon, Md Asifur Rahman, Talal Halabi, Sarra Alqahtani
LSTM-Based Anomalous Behavior Detection in Multi-Agent Reinforcement Learning. CSR (2022)
Ashley Peake, Joe McCalmon, Yixin Zhang, Daniel Myers, Sarra Alqahtani, Paúl Pauca
Deep Reinforcement Learning for Adaptive Exploration of Unknown Environments. CoRR (2021)
Yixin Zhang, Joe McCalmon, Ashley Peake, Sarra Alqahtani, Paúl Pauca
A Symbolic-AI Approach for UAV Exploration Tasks. ICARA (2021)
Xiaotian Liu, Pengyi Shi, Tongtong Liu, Sarra Alqahtani, Paúl Pauca, Miles Silman
Robustness-driven Exploration with Probabilistic Metric Temporal Logic. ICAART (2) (2021)
Ashley Peake, Joe McCalmon, Yixin Zhang, Benjamin Raiford, Sarra Alqahtani
Wilderness Search and Rescue Missions using Deep Reinforcement Learning. SSRR (2020)
Ashley Peake, Joe McCalmon, Benjamin Raiford, Tongtong Liu, Sarra Alqahtani
Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control. ICTAI (2020)
Xiaotian Liu, Pengyi Shi, Sarra Alqahtani, Victor Paúl Pauca, Miles Silman
Robustness-Driven Exploration with Probabilistic Metric Temporal Logic. CoRR (2019)