Dear Colleagues, We wish to invite you to our HRI workshop on Human-Interactive Robot Learning (HIRL). HIRL is an umbrella term used to describe a recent emerging research area on the design of teachable robotic agents that can learn interactively from human input, including demonstrations, feedback, advice, corrections, etc.
While there has been an increased interest in the topics falling under HIRL, research efforts in this space remain largely disparate across different communities that encompass computer science, engineering, neuroscience, biology, and ethics. Thus, we conjecture that this is the right time to break the boundaries and favor cross-pollination between this diverse set of research communities. We invite researchers to this hands-on workshop, to consolidate the lessons that were learned so far in complementing research topics, and offer benchmarks on which to evaluate contributions. These benchmarks, in turn, will enable researchers to have more productive collaborations and opportunities to better compare their methods and results. This workshop will take place on March 11, 2022, as part of the HRI workshop program. More details can be found on the workshop’s website: https://sites.google.com/utexas.edu/hirl/home We invite researchers to submit papers on the following topics: - Learning from demonstration, by imitation, or from observation - Inverse reinforcement learning - Interactive reinforcement learning - Robot learning from human feedback (including advice, corrections, etc.) - Standardized task development for HIRL - Evaluation metrics for learners and teachers - Social signal processing for human teaching behaviors - Natural teaching interfaces - Teacher-learner adaptation - Human-guided exploration - Human-in-the-loop lifelong learning Submission details: The submission deadline is January 20, 2022. Notifications will be sent on February 20, 2022. The submission website is: https://easychair.org/conferences/?conf=hirl22 As this workshop is meant to provide a hands-on opportunity to identify open problems and to construct HIRL benchmarks, we only accept extended abstracts (up to 2 pages excluding references) that will be presented in a lightning talk and a poster session. Invited Speakers: Ayanna Howard, College of Engineering, Ohio State University. Frank Krueger, School of Systems Biology, George Mason University. Brian Scassellati, Department of Computer Science at Yale University. Matthias Scheutz, Department of Computer Science at Tufts University Shiwali Mohan, Xerox PARC. Matthew Taylor, Department of Computer Science at the University of Alberta. Andrea Thomaz, Department of Electrical and Computer Engineering at The University of Texas at Austin. Organizing Committee: Reuth Mirsky, UT Austin and Bar Ilan University (reut...@gmail.com) Kim Baraka, VU Amsterdam Taylor Kessler Faulkner, UT Austin Justin Hart, UT Austin Harel Yedidsion, Applied Materials Xuesu Xiao, X The Moonshot Factory
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