Search Results for author: Yaru Niu

Found 9 papers, 2 papers with code

Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving

no code implementations31 Oct 2023 Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao

However, maintaining safety in diverse safety-critical scenarios remains a significant challenge due to long-tailed and unforeseen scenarios absent from offline datasets.

Autonomous Driving Decision Making +4

Creative Robot Tool Use with Large Language Models

no code implementations19 Oct 2023 Mengdi Xu, Peide Huang, Wenhao Yu, Shiqi Liu, Xilun Zhang, Yaru Niu, Tingnan Zhang, Fei Xia, Jie Tan, Ding Zhao

This paper investigates the feasibility of imbuing robots with the ability to creatively use tools in tasks that involve implicit physical constraints and long-term planning.

Motion Planning Task and Motion Planning

COMPOSER: Scalable and Robust Modular Policies for Snake Robots

no code implementations2 Oct 2023 Yuyou Zhang, Yaru Niu, Xingyu Liu, Ding Zhao

Instead of perceiving the hyper-redundancy and flexibility of snake robots as mere challenges, there lies an unexplored potential in leveraging these traits to enhance robustness and generalizability at the control policy level.

Multi-agent Reinforcement Learning

Learning Interpretable, High-Performing Policies for Autonomous Driving

1 code implementation4 Feb 2022 Rohan Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, Matthew Gombolay

While the performance of these approaches warrants real-world adoption, these policies lack interpretability, limiting deployability in the safety-critical and legally-regulated domain of autonomous driving (AD).

Autonomous Driving Continuous Control +2

Active Hierarchical Imitation and Reinforcement Learning

no code implementations14 Dec 2020 Yaru Niu, Yijun Gu

Humans can leverage hierarchical structures to split a task into sub-tasks and solve problems efficiently.

Active Learning Imitation Learning +2

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