Prof. Jochen Renz — Research Profile
Australian National University · School of Computing
About
호주국립대학교 컴퓨터학부 소속 Jochen Renz 교수의 등록된 연구 분야는 artificial intelligence, knowledge representation, spatial reasoning, qualitative reasoning, constraint satisfaction, computational complexity입니다.
Research keywords
Recent papers
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
Christopher Leckie 교수 연구실
University of Melbourne · School of Computing and Information Systems
Out-of-Distribution Detection in Continual LearningNewPreprintarXiv (Cornell University) · Oct 19Shared topic: Domain Adaptation and Few-Shot Learning
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
Tao Dacheng 교수 연구실
Nanyang Technological University · College of Computing and Data Science
Q-learning Penalized Transformer for Safe Offline Reinforcement LearningPreprintarXiv (Cornell University) · Sep 28Shared topic: Reinforcement Learning in Robotics
Other labs in this department
- Alberto F. Martin 교수 연구실
high performance scientific computing, partial differential equations, finite elements, parallel preconditioning, scientific machine learning, GPU computing
- Alex Potanin 교수 연구실
programming language design, software verification, cyber security, trustworthy systems, quantum computing, software engineering
- Alwen Tiu 교수 연구실
formal methods, computational logic, automated theorem proving, computer security
- Amanda Barnard 교수 연구실
applied machine learning, artificial intelligence, data science, high performance computing, computational methods for physical sciences, materials, nanotechnology
- Antony Hosking 교수 연구실
programming languages, software systems, object persistence, database systems, memory management, garbage collection, managed language runtimes, optimizing compilers, software assurance
- Ben Swift 교수 연구실
computational art and music, data visualization, data science, human-computer interaction, machine learning