354 citations · 821 across the 94 of their papers we have counts for
15 papers · 1 filter
Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction
Letian Wang, Yeping Hu, Liting Sun +3
When autonomous vehicles still struggle to solve challenging situations during on-road driving, humans have long mastered the essence of driving with efficient transferable and ada…
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction
Yeping Hu, Xiaogang Jia, Masayoshi Tomizuka +1
Accurately predicting possible behaviors of traffic participants is an essential capability for autonomous vehicles. Since autonomous vehicles need to navigate in dynamically chang…
Towards General and Efficient Active Learning
Yichen Xie, Masayoshi Tomizuka, Wei Zhan
Active learning selects the most informative samples to exploit limited annotation budgets. Existing work follows a cumbersome pipeline that repeats the time-consuming model traini…
Construction and decomposition of knots as Murasugi sums of Seifert surfaces
Jared Able, Mikami Hirasawa
A fixed knot acts via Murasugi sum on the space of isotopy classes of knots. This operation endows with a directed graph structure denoted by $M\ker…
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning
Jinning Li, Chen Tang, Masayoshi Tomizuka +1
Reinforcement Learning (RL) has been shown effective in domains where the agent can learn policies by actively interacting with its operating environment. However, if we change the…
Iterative Imitation Policy Improvement for Interactive Autonomous Driving
Zhao-Heng Yin, Chenran Li, Liting Sun +2
We propose an imitation learning system for autonomous driving in urban traffic with interactions. We train a Behavioral Cloning~(BC) policy to imitate driving behavior collected f…