1 citations · 1 across the 3 of their papers we have counts for
4 papers
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…
Map-Agnostic And Interactive Safety-Critical Scenario Generation via Multi-Objective Tree Search
Wenyun Li, Zejian Deng, Chen Sun
Generating safety-critical scenarios is essential for validating the robustness of autonomous driving systems, yet existing methods often struggle to produce collisions that are bo…
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…
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…