Workshop on Reliability In Planning and Learning (RIPL)

ICAPS'25 Workshop on Reliability In Planning and Learning (RIPL) Melbourne, Victoria, Australia

Aim and Scope of the Workshop

Learning is the dominating trend in AI at this time. From a planning and scheduling perspective – and for sequential decision making in general – this is manifested in two major kinds of technical artifacts that are rapidly gaining importance. First, planning models generated by large language models, or otherwise learned or partially learned from data (such as a weather forecast in a model of flight actions). Second, planning/search information learned from data, in particular action policies or planning-control knowledge for making decisions in dynamic environments (reinforcement learning or per-domain generalizing knowledge in PDDL). Reliability is a key concern in such artefacts, prominently including safety, robustness, and fairness in various forms, but possibly other concerns as well. Arguably, this is indeed one of the grand challenges in AI for the foreseeable future.

RIPL is an evolution of the Reliable Data-Driven Planning and Scheduling (RDDPS) workshop that ran ICAPS 2022-2024. The workshop scope was edited to be more broadly inclusive, covering any aspect relevant to reliability in planning and learning, in particular LLM-generated planning models. The title was changed to reflect this scope in a more direct manner.

RIPL aims to coordinate with the workshops on Planning and Reinforcement Learning (PRL) as well as Language Models for Planning (LM4Plan), with RIPL covering the reliability-related aspects of these areas. Joint sessions across workshops are a possibility we will evaluate depending on submissions and workshop timing.

Topics of Interest

The workshop welcomes contributions to any topic that roughly falls into the following problem space:

  1. Data-driven artifacts: Learned or ML-generated planning and scheduling models (e.g., action models, transition probabilities and environment prediction); learned action-decisions (e.g., action policies, components thereof and previous plans); learned search guidance (e.g., heuristics and state rankings); and combinations thereof.

  2. Objectives: Reliability in whatever form, including risk, safety, robustness, fairness, error bounds, etc., alongside possibly other concerns such as scalability and data efficiency, system design/engineering principles and challenges, and the interactions of these with reliability.

  3. Methodologies include any issue relating to robustness in: learning or generating artefacts as per (1); planning and scheduling algorithms in the presence of such learned artifacts; analyzing such artifacts (e.g., reasoning, verification, testing, etc.); making such analyses amenable to human users (e.g., visualization, interaction); and potentially others as relevant to the workshop objectives.

Important Dates

  • Submission Deadline: July 25, 2025 (UTC-12)
  • Author Notification: August 15, 2025
  • Camera-Ready Deadline: September 10, 2025
  • ICAPS 2025 Workshops: November TBD, 2025

Submission Details

All papers must be formatted like at the main conference (ICAPS author kit). Submitted papers should be anonymous for double-blind reviewing. Paper submission is via EasyChair.

We call for two kinds of submissions:

  • Technical papers, of length up to 8 pages plus references. The workshop is meant to be an open and inclusive forum, and we encourage papers that report on work in progress.
  • Position papers, of length up to 4 pages plus references. Given that reliability of data-driven planning and scheduling is rather new at ICAPS, we encourage authors to submit positions on what they believe are important challenges, questions to be considered, approaches that may be promising. We will include any position relevant to discussing the workshop topic. We expect to group position paper presentations into a dedicated session, followed by an open discussion.

Every submission will be reviewed by members of the program committee according to the usual criteria such as relevance to the workshop, significance of the contribution, and technical quality.

At least one author of each accepted paper must attend the workshop in order to present the paper. Authors must register for the ICAPS conference in order to attend the workshop.

Policy on Previously Published Materials

Please do not submit papers that are already accepted for the ICAPS main conference. All other submissions, e.g., papers under review for AAAI'25, are welcome. Authors submitting papers rejected from the ICAPS main conference, please ensure you do your utmost to address the comments given by ICAPS reviewers. Also, it is your responsibility to ensure that other venues your work is submitted to allow for papers to be already published in “informal” ways (e.g., on proceedings or websites without associated ISSN/ISBN).

Organizing Committee

  • Felipe Trevizan, Australian National University, Australia
  • Charles Gretton, Australian National University, Australia
  • Daniel Höller, Saarland University, Germany
  • Marcel Steinmetz, University of Toulouse, France
  • Marcel Vinzent, Saarland University, Germany
  • Jörg Hoffmann, Saarland University, Germany
  • Sylvie Thiebaux, University of Toulouse, France, and Australian National University, Australia