Schedule overview
Sunday, June 24 | Doctoral Consortium |
Monday, June 25 | ICAPS Workshops & tutorials |
Tuesday, June 26 | ICAPS Workshops & tutorials, CPAIOR Master Class, Welcome Reception |
Wednesday, June 27 | Main conference sessions, Invited talks, Public event |
Thursday, June 28 | Main conference sessions, Invited talks, ICAPS Conference Dinner, CPAIOR Conference Banquet |
Friday, June 29 | Main conference sessions, Invited talks |
Detailed schedule
Sunday
12:00 - 17:30 |
Science Centre Delft (Mijnbouwstraat 120) |
Monday
8:15 |
Registration Desk Open Ground floor |
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9:00 - 12:30 |
ICAPS Workshops (Coffee Break 10:30 - 11:00, Foyer) IntEx: Integrated Planning, Acting and Execution Frans van Hasseltzaal XAIP: EXplainable AI Planning Senaatszaal |
ICAPS Tutorials (Coffee Break 10:30 - 11:00, Foyer) T2: Decision Diagrams in Automated Planning and Scheduling Lecture hall D T4: An Introduction to Hierarchical Task Network Planning Lecture hall G T5: Integrating Classical Planning and Mobile Service Robots using ROSPlan Lecture hall A T7: SMT Solving for AI Planning: Theory, Tools and Applications Lecture hall E Lecture halls E and G are in a separate building that is connected to the conference venue. The floor plan provides more details.
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12:30 - 13:30 |
Lunch Foyer |
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13:30 - 17:00 |
ICAPS Workshops (Coffee Break 15:00 - 15:30, Foyer) IntEx: Integrated Planning, Acting and Execution Frans van Hasseltzaal XAIP: EXplainable AI Planning Senaatszaal Commissiekamer 2 COPLAS: Constraint Satisfaction Techniques for Planning and Scheduling Commissiekamer 3 PlanSOpt: Planning, Search and Optimization Lecture hall D |
ICAPS Tutorials (Coffee Break 15:00 - 15:30, Foyer) T3: Introduction to Planning Domain Modeling in RDDL Lecture hall F T6: Integrated Motion Planning, Coordination and Control for Fleets of Mobile Robots Lecture hall G T8: Timeline-based Planning and Execution: Theory and Practice Lecture hall E Lecture halls E, F and G are in a separate building that is connected to the conference venue. The floor plan provides more details.
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Tuesday
8:15 |
Registration Desk Open Ground floor |
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8:55 / 9:00 - 12:15 / 12:30 |
ICAPS Workshops (start 9:00) (Coffee Break 10:30 - 11:00, Foyer) HSDIP: Heuristics and Search for Domain-Independent Planning Frans van Hasseltzaal KEPS: Knowledge Engineering for Planning and Scheduling Commissiekamer 2 PlanRob: Planning and Robotics Senaatszaal SPARK: Scheduling and Planning applications woRKshop Commissiekamer 3 UISP: User Interfaces and Scheduling and Planning Lecture hall E Lecture halls E and F are in a separate building that is connected to the conference venue. The floor plan provides more details.
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ICAPS Tutorial (starts 9:00) (Coffee Break 10:30 - 11:00, Foyer) T1: AI Planning for Industrial Applications with PDDL4J Lecture hall F |
CPAIOR Master Class: Data Science meets Combinatorial Optimization Lecture hall D Introduction to the Master Class 8:55 - 9:00 Introduction to Machine Learning and Data Mining 9:00 - 10:00 Data Mining using Constraint Programming 10:00 - 10:45 Coffee Break, 10:45-11:15, Foyer Instance Spaces for Objective Assessment of Algorithms and Benchmark Test Suites 11:15 - 12:15 |
12:30 - 13:30 |
Lunch Foyer |
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13:30 - 17:00 |
ICAPS Workshops (Coffee Break 15:00 - 15:30, Foyer) HSDIP: Heuristics and Search for Domain-Independent Planning Frans van Hasseltzaal KEPS: Knowledge Engineering for Planning and Scheduling Commissiekamer 2 PlanRob: Planning and Robotics Senaatszaal SPARK: Scheduling and Planning applications woRKshop Commissiekamer 3 DMAP: Distributed and Multi-Agent Planning Lecture hall E Lecture hall E is located in a separate building that is connected to the conference venue. The floor plan provides more details.
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CPAIOR Master Class: Data Science meets Combinatorial Optimization Lecture hall D Machine Learning for Branch and Bound 13:30 - 14:30 Learning Combinatorial Optimization Algorithms over Graphs 14:30 - 15:15 Coffee Break, 15:15-15:45, Foyer Recent Applications of Data Science in Optimization and Constraint Programming 15:45 - 16:45 |
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18:00 - 20:30 |
Museum Prinsenhof, Van der Mandelezaal |
Wednesday Morning
8:15 |
Registration Desk Open Ground floor |
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8:45 - 9:00 |
Opening Remarks
Auditorium |
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9:00 - 10:00 |
EurAI Invited Talk: Michela Milano Empirical Model Learning: Boosting Optimization Through Machine Learning Auditorium |
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ICAPS Lecture hall A |
ICAPS Lecture hall D |
CPAIOR Senaatszaal |
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10:00 - 11:00 |
Uncertainty Chair: Matthijs Spaan Algorithms and Conditional Lower Bounds for Planning Problems Planning in Hybrid Relational MDPs (Journal Track) Compiling Probabilistic Model Checking into Probabilistic Planning (Short Paper) |
Robotics I Chair: Andrea Orlandini ASP-based Time-Bounded Planning for Logistics Robots Minimizing Movement to Establish the Connectivity of Randomly Deployed Robots A Loosely-Coupled Approach for Multi-Robot Coordination, Motion Planning and Control |
Applications and Methodology Chair: Gilles Pesant Constraint and Mathematical Programming for Integrated Port Container Terminal Operations Fleet Scheduling in Underground Mines using Constraint Programming An Efficient Relaxed Projection Method for Constrained Non-negative Matrix Factorization with Application to the Phase-Mapping Problem in Materials Science |
11:00 - 11:30 |
Coffee Break Foyer |
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11:30 - 12:30 |
Senaatszaal Panel on AI Education Chair: Dana Nau |
Multi-agent and ASP Chair: Eva Onaindia Representing and Planning with Interacting Actions and Privacy Finding Optimal Feasible Global Plans for Multiple Teams of Heterogeneous Robots using Hybrid Reasoning: An Application to Cognitive Factories (Journal Track) teaspoon: Solving the Curriculum-Based Course Timetabling Problems with Answer Set Programming (Journal Track) |
Lecture hall A Machine Learning and Optimization 1 Chair: Bistra Dilkina Model agnostic solution of CSPs via Deep Learning: a preliminary study Algorithms for Sparse k-Monotone Regression Learning Heuristics for the TSP by Policy Gradient |
12:30 - 13:50 / 14:00 |
Poster and Demo Session with Lunch Foyer |
Wednesday Afternoon
Thursday Morning
Thursday Afternoon
Friday Morning
8:45 |
Registration Desk Open Commissiekamer 1 (top floor) |
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9:00 - 10:00 |
Invited Talk: Richard Korf What's the Right Search Algorithm for My Problem? Auditorium |
Invited Talk: Paul Shaw Ten Years of CP Optimizer Senaatszaal |
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ICAPS Lecture hall A |
ICAPS Lecture hall D |
ICAPS Lecture hall C |
CPAIOR Senaatszaal |
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10:00 - 11:00 |
Applications II Chair: Tathagata Chakraborti Aligning Partially-Ordered Process-Execution Traces and Models Using Automated Planning Footprint Placement for Mosaic Imaging by Sampling and Optimization Reserved Optimisation: Handling Incident Priorities in Emergency Response Systems |
Robotics IV Chair: Eric Demeester Clothoidal Local Path Template for Intention Estimation by Robotic Assistive Wheelchairs A Log-Approximation for Coverage Path Planning with the Energy Constraint Planning Robust Manual Tasks in Hierarchical Belief Spaces |
Multi-Objective Optimization and Policies Chair: Natashia Boland Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources A Comparison of Optimization Methods for Multi-Objective Constrained Bin Packing Problems Boosting Efficiency for Computing the Pareto Frontier on Tree Structured Networks |
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11:00 - 11:30 |
Coffee Break Foyer |
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11:30 - 12:30 |
Scheduling Chair: Hoong Chuin Lau A Multi-Agent Framework to Solve Energy-aware Unrelated Parallel Machine Scheduling Problem with Machine-dependent Energy Consumption and Sequence-dependent Setup-time Planning of Distributed Data Production for High Energy and Nuclear Physics (Journal Track) A Hybrid Genetic Algorithm for Semiconductor Back-end Production (Short Paper) |
Hierarchical Planning Chair: Neil Yorke-Smith A Generic Method to Guide HTN Progression Search with Classical Heuristics Validation of Hierarchical Plans via Parsing of Attribute Grammars A Three-layer Planning Architecture for the Autonomous Control of Rehabilitation Therapies Based on Social Robots (Journal Track) |
IPC Results Lecture hall C |
Local Search Chair: Pascal Van Hentenryck A Local Search Framework for Compiling Relaxed Decision Diagrams Reasoning on Sequences in Constraint-Based Local Search Frameworks Revisiting the Self-Adaptive Large Neighbourhood Search |
12:30 - 14:00 |
Poster Session with Lunch Foyer |