Academic staff at Faculty of Mathematics and Physics, Faculty of Education
Study programmes
Classes
- Seminar on Artificial Intelligence 1NAIL004 | Faculty of Mathematics and Physics
- Seminar on Artificial Intelligence 2NAIL052 | Faculty of Mathematics and Physics
- Artificial Intelligence 1NAIL069 | Faculty of Mathematics and Physics
- Artificial Intelligence 2NAIL070 | Faculty of Mathematics and Physics
- Planning and SchedulingNAIL071 | Faculty of Mathematics and Physics
- Introduction to Artificial Intelligence +1NAIL113 | Faculty of Mathematics and Physics
- Seminar on Artificial Intelligence INAIX004 | Faculty of Mathematics and Physics
- Seminar on Artificial Intelligence IINAIX052 | Faculty of Mathematics and Physics
- Artificial Intelligence INAIX069 | Faculty of Mathematics and Physics
- Constraint Programming +1NOPT042 | Faculty of Mathematics and Physics
Publications
- Lessons Learned from the CYK Algorithm for Parsing-based Verification of Hierarchical Plans2023 | Faculty of Mathematics and Physics
- On the Impact of Grounding on HTN Plan Verification via Parsing2023 | Faculty of Mathematics and Physics
- On Total-Order HTN Plan Verification with Method Preconditions – An Extension of the CYK Parsing Algorithm2023 | Faculty of Mathematics and Physics
- Parsing-Based Recognition of Hierarchical Plans Using the Grammar Constraint2023 | Faculty of Mathematics and Physics
- Using Earley Parser for Recognizing Totally Ordered Hierarchical Plans2023 | Faculty of Mathematics and Physics
- On Semantics of Hierarchical Planning Domain Models with Decomposition Constraints and Empty Methods2023 | Faculty of Mathematics and Physics
- Multi-Agent Pathfinding on Large Maps Using Graph Pruning: This Way or That Way?2023 | Faculty of Mathematics and Physics
- Multi-Agent Pathfnding with Predefned Paths: To Wait, or Not to Wait, That Is the Question [Extended Abstract]2023 | Faculty of Mathematics and Physics
- On Heuristics for Parsing-based Verification of Hierarchical Plans with a Goal Task2022 | Faculty of Mathematics and Physics
- Tackling Train Routing via Multi-agent Pathfinding and Constraint-based Scheduling2022 | Faculty of Mathematics and Physics
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