On the Use of Multi-agent Reinforcement Learning in Cyber-physical and Internet of Thing Systems. - Hossein Yarahmadi; Mohammad Ebrahim Shiri; Moharram Challenger; Hamidreza Navidi; Arash Sharifi (MECO, 2023)

Multi-Agent Credit Assignment and Bankruptcy Game for Improving Resource Allocation in Smart Cities. - Hossein Yarahmadi; Mohammad Ebrahim Shiri; Moharram Challenger; Hamidreza Navidi; Arash Sharifi (Sensors, 2023)

Bankruptcy-evolutionary games based solution for the multi-agent credit assignment problem. - Hossein Yarahmadi; Mohammad Ebrahim Shiri; Hamidreza Navidi; Arash Sharifi; Moharram Challenger (Swarm Evol. Comput., 2023)

Towards Robustness in Intelligent Agents and Multi-agent Systems Through Integration of Reinforcement Learning and Reasoning. - Hossein Yarahmadi; Moharram Challenger (PAAMS (Workshops), 2024)

Comparative Analysis of Classic and Reinforcement Learning Approaches for Robot Navigation in Dynamic Environments. - Hossein Yarahmadi; Hussein Marah; Moharram Challenger (PAAMS (Workshops), 2024)

RevAP: A bankruptcy-based algorithm to solve the multi-agent credit assignment problem in task start threshold-based multi-agent systems. - Hossein Yarahmadi; Mohammad Ebrahim Shiri; Hamidreza Navidi; Arash Sharifi; Moharram Challenger (Robotics Auton. Syst., 2024)