Prof. Andrea Zanette — Research Profile
Carnegie Mellon University · Electrical and Computer Engineering
About
카네기멜런 대학교 전기컴퓨터공학과 소속 Andrea Zanette 교수의 등록된 연구 분야는 Reinforcement learning, Exploration, Function approximation, Offline learning입니다.
Research keywords
Recent papers
- Training Small Language Models for Transferable Tool SelectionNewPreprintarXiv (Cornell University) · Oct 22
- Random Remasking Scales Masked Diffusion InferenceNewPreprintarXiv (Cornell University) · Oct 22
- Training Language Models to Fail GracefullyNewPreprintarXiv (Cornell University) · Oct 14
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Sergey Levine 교수 연구실
University of California, Berkeley · Electrical Engineering and Computer Sciences
Measuring Empowerment from Offline Data for Intrinsically Motivated ExplorationNewPreprintarXiv (Cornell University) · Oct 17Shared topic: Reinforcement Learning in Robotics
Sanmi Koyejo 교수 연구실
Stanford University · Computer Science
AlphaDiana: A Measurement System for Agents in Verifiable Reasoning TasksNewPreprintarXiv (Cornell University) · Oct 14Shared topic: AI-based Problem Solving and Planning
Text Information Management and Analysis Research (TIMAN)
University of Illinois Urbana-Champaign · Computer Science
Competence-Based Evaluation of Logical Reasoning in Large Language ModelsNewPreprintarXiv (Cornell University) · Oct 16Shared topic: Topic Modeling
Other labs in this department
- Akshitha Sriraman 교수 연구실
Computer systems, Computer architecture, Data center computing, Microservices and serverless
- Andrew Ilyas 교수 연구실
Machine learning, Statistical tools, Training data, Trustworthy AI
- Anthony Rowe 교수 연구실
Cyber-physical systems, Embedded sensing systems, Distributed systems, Mixed reality
- Aswin Sankaranarayanan 교수 연구실
Computational imaging, Compressed sensing, Computer vision, Signal processing
- Brandon Lucia 교수 연구실
Computer architecture, Intermittent computing, Energy-harvesting devices, Edge computing
- Bryan Parno 교수 연구실
Secure systems, Formal software verification, Applied cryptography, Usable security