Md Asifur Rahman

According to our database, Md Asifur Rahman authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

xSRL: Safety-Aware Explainable Reinforcement Learning - Safety as a Product of Explainability.

Risal Shahriar Shefin, Md Asifur Rahman, Thai Le, Sarra Alqahtani

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

Study of Partial Discharge Characteristics of Optimally Fabricated MMEI Flat Samples Under DC and Their DC Dielectric Strength for Applications in Envisaged All-Electric Wide-Body Aircraft.

Saikat Chowdhury, Anoy Saha, Md Asifur Rahman, Sai Pavan Kalakonda, Mona Ghassemi

IEEE Access, 2024

2023

A novel policy-graph approach with natural language and counterfactual abstractions for explaining reinforcement learning agents.

Tongtong Liu, Joe McCalmon, Thai Le, Md Asifur Rahman, Dongwon Lee, Sarra M. Alqahtani

Auton. Agents Multi Agent Syst., October, 2023

Adversarial Behavior Exclusion for Safe Reinforcement Learning.

Md Asifur Rahman, Tongtong Liu, Sarra M. Alqahtani

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Task-Agnostic Safety for Reinforcement Learning.

Md Asifur Rahman, Sarra M. Alqahtani

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

2022

Weaponizing Actions in Multi-Agent Reinforcement Learning: Theoretical and Empirical Study on Security and Robustness.

Tongtong Liu, Joe McCalmon, Md Asifur Rahman, Cameron Lischke, Talal Halabi, Sarra M. Alqahtani

Proceedings of the PRIMA 2022: Principles and Practice of Multi-Agent Systems, 2022

LSTM-Based Anomalous Behavior Detection in Multi-Agent Reinforcement Learning.

Cameron Lischke, Tongtong Liu, Joe McCalmon, Md Asifur Rahman, Talal Halabi, Sarra M. Alqahtani

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2022