Towards Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning Models. - Khaing Phyo Wai; Minghong Geng; Budhitama Subagdja; Shubham Pateria; Ah-Hwee Tan (AAMAS, 2023)

Scaling up Cooperative Multi-agent Reinforcement Learning Systems. - Minghong Geng (AAMAS, 2024)

Benchmarking MARL on Long Horizon Sequential Multi-Objective Tasks. - Minghong Geng; Shubham Pateria; Budhitama Subagdja; Ah-Hwee Tan (AAMAS, 2024)

Explaining Sequences of Actions in Multi-agent Deep Reinforcement Learning Models. - Khaing Phyo Wai; Minghong Geng; Shubham Pateria; Budhitama Subagdja; Ah-Hwee Tan (AAMAS, 2024)

HiSOMA: A hierarchical multi-agent model integrating self-organizing neural networks with multi-agent deep reinforcement learning. - Minghong Geng; Shubham Pateria; Budhitama Subagdja; Ah-Hwee Tan (Expert Syst. Appl., 2024)

Hierarchical Frameworks for Scaling-up Multi-agent Coordination. - Minghong Geng (AAMAS, 2025)

MOSMAC: A Multi-agent Reinforcement Learning Benchmark on Sequential Multi-Objective Tasks. - Minghong Geng; Shubham Pateria; Budhitama Subagdja; Ah-Hwee Tan (AAMAS, 2025)