most citedImproving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning based Local Motion Planners

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming

Chengqi Zheng, Jianda Chen, Yueming Lyu +5

Despite the promise of autonomous agentic reasoning, existing workflow generation methods frequently produce fragile, unexecutable plans due to unconstrained LLM-driven constructio…

cs.LG2025

Latent Embedding Adaptation for Human Preference Alignment in Diffusion Planners

Wen Zheng Terence Ng, Jianda Chen, Yuan Xu +1

This work addresses the challenge of personalizing trajectories generated in automated decision-making systems by introducing a resource-efficient approach that enables rapid adapt…

cs.LG2024

State Chrono Representation for Enhancing Generalization in Reinforcement Learning

Jianda Chen, Wen Zheng Terence Ng, Zichen Chen +2

In reinforcement learning with image-based inputs, it is crucial to establish a robust and generalizable state representation. Recent advancements in metric learning, such as deep…

cs.LG2024

Dual Action Policy for Robust Sim-to-Real Reinforcement Learning

Ng Wen Zheng Terence, Chen Jianda

This paper presents Dual Action Policy (DAP), a novel approach to address the dynamics mismatch inherent in the sim-to-real gap of reinforcement learning. DAP uses a single policy…

cs.RO2024★ 1 cited

Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning based Local Motion Planners

Wen Zheng Terence Ng, Jianda Chen, Sinno Jialin Pan +1

Deploying a safe mobile robot policy in scenarios with human pedestrians is challenging due to their unpredictable movements. Current Reinforcement Learning-based motion planners r…