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cs.LG2026
Comprehensive Comparisons of Reinforcement Learning Algorithms in Autonomous Driving
Dechen Xie, Mushuang Liu
This paper presents a comprehensive comparison of four representative reinforcement learning (RL) methods in autonomous vehicle (AV) decision-making, including: Fitted Value Iterat…
cs.LG2025
Directed-MAML: Meta Reinforcement Learning Algorithm with Task-directed Approximation
Yang Zhang, Huiwen Yan, Mushuang Liu
Model-Agnostic Meta-Learning (MAML) is a versatile meta-learning framework applicable to both supervised learning and reinforcement learning (RL). However, applying MAML to meta-re…