Tongtong Liu

According to our database, Tongtong Liu authored at least 7 papers between 2020 and 2023.

Collaborative distances:

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

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

Safe Reinforcement Learning via Observation Shielding.

Joe McCalmon, Tongtong Liu, Reid Goldsmith, Andrew Cyhaniuk, Talal Halabi, Sarra M. Alqahtani

Proceedings of the 56th Hawaii International Conference on System Sciences, 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

2021

Robustness-driven Exploration with Probabilistic Metric Temporal Logic.

Xiaotian Liu, Pengyi Shi, Tongtong Liu, Sarra M. Alqahtani, Paúl Pauca, Miles R. Silman

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020

Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control.

Ashley Peake, Joe McCalmon, Benjamin Raiford, Tongtong Liu, Sarra M. Alqahtani

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020