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cs.LG2026
Curriculum-Based Adversarial Heterogeneous Agent Reinforcement Learning for Autonomous Quad-Copter Landing in Maritime Settings
Allan Minh-Tam Nguyen, Sree Showrya Kotala, Stefan Banioi-Crijman +2
Recovering unmanned aerial vehicles (UAVs) in maritime environments is challenging due to wind turbulence and ship-deck motion, making it a valuable test case for alternative contr…
cs.AI2026
For How Long Should We Be Punching? Learning Action Duration in Fighting Games
Hoang Hai Nguyen, Kurt Driessens, Dennis J. N. J. Soemers
Fighting games such as Street Fighter II present unique challenges to reinforcement learning (RL) agents due to their fast-paced, real-time nature. In most RL frameworks, agents ar…