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cs.MA2026
Building Large-Scale Drone Defenses from Small-Team Strategies
Grant Douglas, Stephen Franklin, Claudia Szabo +1
Defending against large adversarial drone swarms requires coordination methods that scale effectively beyond conventional multi-agent optimisation. In this paper, we propose to sca…
cs.NE2026
Evolving LLM-Derived Control Policies for Residential EV Charging and Vehicle-to-Grid Energy Optimization
Vishesh Purnananda, Benjamin John Wruck, Mingyu Guo
This research presents a novel application of Evolutionary Computation to the domain of residential electric vehicle (EV) energy management. While reinforcement learning (RL) achie…
cs.RO2026
MTDrive: Multi-turn Interactive Reinforcement Learning for Autonomous Driving
Xidong Li, Mingyu Guo, Chenchao Xu +5
Trajectory planning is a core task in autonomous driving, requiring the prediction of safe and comfortable paths across diverse scenarios. Integrating Multi-modal Large Language Mo…