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Full-day Workshop


Submission: Please submit a PDF document in IEEE format via EasyChair at:
https://www.easychair.org/conferences/?conf=mlpc18
Template: LaTeX or MS Word
Motivation and Objectives: To meet the objectives, the workshop will:
  • Include high-quality keynote talks by the leaders of the fields.
  • Solicit extended abstracts (2-4 pages) and short papers (4-6 pages) contributions of the state of the art, and preliminary research results. We aim at accepting approximately 12 short papers and several extended abstracts.
  • Organize the workshop with ample time for informal meeting and networking, including group lunch and dinner.
  • Conclude the day with an interactive panel discussion and dialogue between the invited speakers, contributed authors, and audience on the next challenges in the field on machine learning for motion planning and control.
    Intended audience:
    • Motion planners with interests in learning and planning for changing agents, environment, or both
    • Reinforcement learning and machine learning communities that develop novel learning methods for autonomous agents
    • Multi-agent researchers
    • Controls community focused on controlling physical systems
    • Robotics community
    Contact: Please feel free to contact the workshop committee at mlpc18\AT\easychair.org


    Paper submission deadline extended to Sunday March 25th!