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ICAPS 2023 : International Conference on Automated Planning and SchedulingConference Series : International Conference on Automated Planning and Scheduling | |||||||||||||||
Link: https://icaps23.icaps-conference.org/dates | |||||||||||||||
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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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