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cs.LG2025
Generalizable Trajectory Prediction via Inverse Reinforcement Learning with Mamba-Graph Architecture
Wenyun Li, Wenjie Huang, Zejian Deng +1
Accurate driving behavior modeling is fundamental to safe and efficient trajectory prediction, yet remains challenging in complex traffic scenarios. This paper presents a novel Inv…
cs.LG2025
Shaping Sparse Rewards in Reinforcement Learning: A Semi-supervised Approach
Wenyun Li, Wenjie Huang, Chen Sun
In many real-world scenarios, reward signal for agents are exceedingly sparse, making it challenging to learn an effective reward function for reward shaping. To address this issue…
cs.LG2023★ 1 cited
DRL-ORA: Distributional Reinforcement Learning with Online Risk Adaption
Yupeng Wu, Wenyun Li, Wenjie Huang +1
One of the main challenges in reinforcement learning (RL) is that the agent has to make decisions that would influence the future performance without having complete knowledge of t…