3rd Planning and Reinforcement Learning Workshop @ ICAPS 2022

Bridging the Gap Between AI Planning and Reinforcement Learning

Hector Palacios from ServiceNow Research will co-host the 3rd edition of the Planning and Reinforcement Learning Workshop: Bridging the Gap Between AI Planning and Reinforcement Learning as part of the 32nd International Conference on Automated Planning and Scheduling (ICAPS), which will be held virtually from June 19-24, 2022.

Both AI Planning and Reinforcement Learning communities focus on similar sequential decision-making problems. Yet, these communities remain somewhat unaware of each other on specific problems, techniques, methodologies, and evaluation. This workshop seeks to encourage discussion and collaboration between the researchers in the fields of AI Planning and Reinforcement Learning. We aim to bridge the gap between the two communities, facilitate the discussion of differences and similarities in existing techniques, and encourage collaboration across the fields.

The workshop solicits research at the intersection of the fields of Reinforcement Learning and Planning. Topics of interest include, but are not limited to:

  • Goal-directed Reinforcement Learning (model-based, Bayesian, deep, etc.)

  • Safe Reinforcement Learning and Planning

  • Monte Carlo Planning

  • Learning search heuristics for planner guidance

  • Model representation and learning for planning

  • Planning using approximated/uncertain (learned) models

  • Theoretical aspects of Planning and Reinforcement Learning

  • Action policy analysis or certification

  • Reinforcement Learning and Planning competition(s)

  • Applications of both Reinforcement Learning and Planning

  • Various levels of generalization (across goals, objects/domain, domains)

  • Goal-oriented sequential decision methods combining Planning, RL or other ML methods.

Papers should be submitted through EasyChair by Friday, March 18th (UTC-12 time zone). Make sure to visit the workshop website for further information on the submission procedure.

Got questions? Contact the organizers at prl.theworkshop@gmail.com.

To learn more about previous PRL workshops at ICAPS, visit the 2021 workshop recap. 

Workshop organizers include Michael Katz (IBM T.J. Watson Research Center). Hector Palacios (ServiceNow Research), Vicenç Gómez (Universitat Pompeu Fabra). 

We are excited to help bring this workshop together and hope to see you there!

Are you interested in doing fundamental or applied research at ServiceNow?

If you are interested in exploring full-time career opportunities with the ServiceNow Research team or wish to learn more about the part-time Visiting Researcher Program (for research internships), please take a moment to fill out this form so that hiring managers can learn more about your background and we can contact you about our current openings. Please note that ServiceNow Research internships through our Visiting Researcher Program start and run all year and are not limited to "seasonal" applications.

Follow @ServiceNowRSRCH on Twitter for our latest news, and updates from the community, and to get in touch.

© 2022 ServiceNow, Inc. All rights reserved. ServiceNow, the ServiceNow logo, Now, and other ServiceNow marks are trademarks and/or registered trademarks of ServiceNow, Inc. in the United States and/or other countries. Other company names, product names, and logos may be trademarks of the respective companies with which they are associated.


  • AIOps: One worker points at a laptop screen while another worker looks on.
    IT Management
    AIOps: Predict and prevent IT issues before they happen
    AI and machine learning can monitor IT systems and detect anomalies before humans can spot them. Learn how Predictive AIOps keeps systems running.
  • Power of the cloud: A businessman looks at his smartphone under a cloudy sky.
    IT Management
    Harnessing the power of the cloud to create personalized experiences
    From harnessing the full power of your cloud to creating personalized contact center experiences, the right technology is key. ServiceNow and AWS can help.
  • Open-source Azimuth logo
    Introducing Azimuth, an open-source project from ServiceNow
    Azimuth open-source software helps AI practitioners better understand their dataset and model predictions by performing thorough dataset and error analyses.

Trends & Research

  • Forrester Wave Leader 2022 Third-Party Risk Management Platforms
    Cybersecurity and risk
    Forrester says ServiceNow is a Leader in third-party risk management
  • Cybersecurity: man sits on train bench with a tablet
    Cybersecurity and risk
    Survey: Cybersecurity requires risk-based management approach
  • Image of magic quadrant leader report
    IT Management
    ServiceNow is again a Magic Quadrant Leader in Enterprise Agile Planning Tools