Prof. Cyrus Neary — Research Profile
University of British Columbia · Electrical and Computer Engineering
About
Prof. Cyrus Neary at University of British Columbia Electrical and Computer Engineering lists AI for control, robotics, autonomy, dynamics modeling, computational engineering as their registered research area.
Research keywords
Recent papers
- Multi-Fidelity Policy Gradients Stabilize Data-Scarce Reinforcement LearningPreprintarXiv (Cornell University) · Oct 1
- When Automata Meet Streams: Temporal Logic Compilation for Stream-Based Robotics Task and Motion PlanningPreprintarXiv (Cornell University) · Aug 19
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
Danica Sutherland 교수 연구실
University of British Columbia · Computer Science
Memorize, Adapt, Ignore: Diagnosing Robot Learning Mechanisms under Training Data VariationPreprintarXiv (Cornell University) · Sep 29Shared topic: Reinforcement Learning in Robotics
Peyman Mohajerin Esfahani 교수 연구실
University of Toronto · Mechanical and Industrial Engineering
Limiting-Kernel Q($λ$): Bridging Short and Long HorizonsPreprintarXiv (Cornell University) · Sep 23Shared topic: Reinforcement Learning in Robotics
Giuseppe Carenini 교수 연구실
University of British Columbia · Computer Science
DeepRewind: Predicting and Repairing Premature Commitments in Deep Research AgentsPreprintarXiv (Cornell University) · Sep 28Shared topic: AI-based Problem Solving and Planning
Other labs in this department
- Adrien Desjardins 교수 연구실
Imaging, sensing, robotics, optics, ultrasound, machine learning, biomedical applications
- Alberto Padoan 교수 연구실
Optimization, learning, control, mathematical biology, cyber-physical systems
- Alexandra Fedorova 교수 연구실
Computer system performance, energy efficiency, memory and CPU resource management
- Ali Mesbah 교수 연구실
Software engineering, testing, dynamic analysis, software evolution and maintenance
- Alireza Nojeh 교수 연구실
Nanostructures, carbon nanotubes, electron emission, vacuum nanoelectronics, nanofabrication
- Andre Ivanov 교수 연구실
Silicon lifecycle management, IC reliability, VLSI design, machine learning for EDA