From the 1 of 18 linked papers with an AI index.
18 papers
Beyond Isolation: Unlocking Reinforcement Learning Component Synergy for Sample-Efficient Continuous Control
Qi Zhao, Guozheng Ma, Yilun Kong +9
Reinforcement learning systems are significantly more complex than other machine learning paradigms due to inherent properties, causing RL system design to jointly account for many…
GaitSpan: Growing Humanoid Locomotion from Walking to Running
Kwan-Yee Lin, Zilin Wang, Janelle J. Liu +1
The paper introduces GaitSpan, a framework that expands a pretrained walking policy into a single command‑conditioned humanoid controller capable of walking, jogging, and running a…
DiscoGen: Procedural Generation of Algorithm Discovery Tasks in Machine Learning
Alexander D. Goldie, Zilin Wang, Adrian Hayler +17
Automating the development of machine learning algorithms has the potential to unlock new breakthroughs. However, our ability to improve and evaluate algorithm discovery systems ha…
Beyond One-Size-Fits-All: Diagnosis-Driven Online Reinforcement Learning with Offline Priors
Guozheng Ma, Lu Li, Zilin Wang +2
Online reinforcement learning (RL) agents increasingly depend on knowledge acquired offline to achieve practical efficiency. Originally studied in offline-to-online RL, this paradi…
Free-Grained Hierarchical Visual Recognition
Seulki Park, Zilin Wang, Stella X. Yu
Hierarchical image recognition seeks to predict class labels along a semantic taxonomy, from broad categories to specific ones, typically under the tidy assumption that every train…
Vision Harnessing Agent for Open Ad-hoc Segmentation
Zilin Wang, Stella X. Yu
Segmentation has become easy when the concept is known, requiring retrieval of a learned visual grounding from text. It remains hard for open ad-hoc concepts, where the grounding m…