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cs.MA2025
Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
Hung Du, Hy Nguyen, Srikanth Thudumu +2
Connected and autonomous vehicles across land, water, and air must often operate in dynamic, unpredictable environments with limited communication, no centralized control, and part…
cs.MA2025
Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination
Hung Du, Srikanth Thudumu, Hy Nguyen +2
Decentralized Multi-Agent Reinforcement Learning (Dec-MARL) has emerged as a pivotal approach for addressing complex tasks in dynamic environments. Existing Multi-Agent Reinforceme…
cs.MA2024
A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions
Hung Du, Srikanth Thudumu, Rajesh Vasa +1
Research interest in autonomous agents is on the rise as an emerging topic. The notable achievements of Large Language Models (LLMs) have demonstrated the considerable potential to…