| Multi-agent reinforcement learning for cooperative adaptive cruise control A Peake, J McCalmon, B Raiford, T Liu, S Alqahtani 2020 IEEE 32nd International Conference on Tools with Artificial …, 2020 | 32 | 2020 |
| A novel policy-graph approach with natural language and counterfactual abstractions for explaining reinforcement learning agents T Liu, J McCalmon, T Le, MA Rahman, D Lee, S Alqahtani Autonomous Agents and Multi-Agent Systems 37 (2), 34, 2023 | 3 | 2023 |
| A Policy-Graph Approach to Explain Reinforcement Learning Agents: A Novel Policy-Graph Approach with Natural Language and Counterfactual Abstractions for Explaining … T Liu, J McCalmon, T Le, D Lee, S Alqahtani | 3 | 2023 |
| Weaponizing actions in multi-agent reinforcement learning: Theoretical and empirical study on security and robustness T Liu, J McCalmon, MA Rahman, C Lischke, T Halabi, S Alqahtani International Conference on Principles and Practice of Multi-Agent Systems …, 2022 | 2 | 2022 |
| Safe Reinforcement Learning via Observation Shielding. J McCalmon, T Liu, R Goldsmith, A Cyhaniuk, T Halabi, S Alqahtani HICSS, 6603-6612, 2023 | 1 | 2023 |
| Lstm-based anomalous behavior detection in multi-agent reinforcement learning C Lischke, T Liu, J McCalmon, MA Rahman, T Halabi, S Alqahtani 2022 IEEE International Conference on Cyber Security and Resilience (CSR), 16-21, 2022 | 1 | 2022 |
| Explainability for safety in reinforcement learning T Liu, A Rahman, J McCalmon, SM Alqahtani | 1 | 2022 |
| Cyber Security T Das, O Abuhamdan, S Sengupta, E Arslan, R Soleymanzadeh, ... IEEE International Conference on Cyber Security and Resilience (CSR), 2022 | | 2022 |
| Adversarial Behavior Exclusion for Safe Reinforcement Learning MA Rahman, T Liu, S Alqahtani IJCAI 2023, 0 | | |
