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ICAPS 2023 : International Conference on Automated Planning and Scheduling


Conference Series : International Conference on Automated Planning and Scheduling
When Jul 8, 2023 - Jul 13, 2023
Where Prague
Abstract Registration Due Nov 25, 2022
Submission Deadline Nov 30, 2022
Notification Due Feb 4, 2023
Categories    planning   scheduling   applications   robotics

Call For Papers

ICAPS 2023, the 33rd International Conference on Automated Planning and Scheduling, will take place in Prague, July 8-13, 2023. ICAPS 2023 will be part of the ICAPS conference series, the premier forum for exchanging news and research results on the theory and applications of intelligent planning and scheduling technology.

ICAPS 2023 will feature 4 different tracks:

Main Track (see below)
Industry and Applications Track
Planning and Learning Track
Robotics Track

Additionally, the ICAPS program will include a journal track, demonstrations, workshops, and tutorials, each having separate submission and notification dates, to be announced separately.

The ICAPS 2023 program committee invites paper submissions related to automated planning and scheduling. Relevant contributions include but are not limited to:

Theoretical foundations of planning and scheduling
Classical planning techniques and analysis
Knowledge representation for planning and scheduling
Planning with time and resources
Plan and schedule execution, monitoring, and repair
Continual, on-line, and real-time planning and scheduling
Plan recognition, plan management, and goal reasoning
Uncertainty and stochasticity in planning and scheduling
Partially observable and unobservable domains
Conformant, contingent, and adversarial planning
Multi-agent and distributed planning
Planning and scheduling with continuous state and action spaces
Planning and scheduling with mixed continuous and discrete states/actions/decisions
Robot planning and scheduling (see also the special track)
Knowledge acquisition and engineering for planning and scheduling
Applications and case studies of planning and scheduling techniques (see also the special track)
Learning for planning and scheduling (see also special the track)
Human-aware planning and scheduling

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