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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=mlpc2014
Template: LaTeX or MS Word
Motivation and Objectives: The workshop aims to spark vibrant discussion with talks from invited speakers, presentations from authors of accepted papers, and a poster session. We are soliciting two types of contributions:
  • Papers (4-6 pages) for oral or interactive poster presentation
  • Extended abstracts (2 pages) for interactive poster presentation
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 mlpc2014\AT\easychair.org