Joe McCalmon

According to our database, Joe McCalmon authored at least 9 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

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

CAPS: Comprehensible Abstract Policy Summaries for Explaining Reinforcement Learning Agents.

Joe McCalmon, Thai Le, Sarra M. Alqahtani, Dongwon Lee

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Deep Reinforcement Learning for Adaptive Exploration of Unknown Environments.

Ashley Peake, Joe McCalmon, Yixin Zhang, Daniel Myers, Sarra M. Alqahtani, Paúl Pauca

CoRR, 2021

A Symbolic-AI Approach for UAV Exploration Tasks.

Yixin Zhang, Joe McCalmon, Ashley Peake, Sarra M. Alqahtani, Paúl Pauca

Proceedings of the 7th International Conference on Automation, Robotics and Applications, 2021

2020

Wilderness Search and Rescue Missions using Deep Reinforcement Learning.

Ashley Peake, Joe McCalmon, Yixin Zhang, Benjamin Raiford, Sarra M. Alqahtani

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 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