Prof. Pascal Bercher — Research Profile
Australian National University · School of Computing
About
Prof. Pascal Bercher at Australian National University School of Computing lists artificial intelligence planning, hierarchical task network planning, partial order causal link planning, computational complexity, heuristic design as their registered research area.
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
Shared topic: AI-based Problem Solving and Planning
Sanmi Koyejo 교수 연구실
Stanford University · Computer Science
AlphaDiana: A Measurement System for Agents in Verifiable Reasoning TasksNewPreprintarXiv (Cornell University) · Oct 14Tao Dacheng 교수 연구실
Nanyang Technological University · College of Computing and Data Science
Causal Improvement Graph for Agentic Harness OptimizationPreprintarXiv (Cornell University) · Oct 4Sergey Levine 교수 연구실
University of California, Berkeley · Electrical Engineering and Computer Sciences
The Geometry of EmpowermentPreprintarXiv (Cornell University) · Oct 6
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