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Planning

  • School / Prep

    ENSEIRB-MATMECA

Internal code

EI9IS332

Description

Planning is the process of deciding on an action in the light of our objective and the responses we receive from our environment.
Avoiding a car accident, finding your way to the bakery, catching a ball - there are a multitude of situations in which humans plan their actions before they act. These decisions, which are easy for humans to make, are more difficult for robots to implement. The aim of this course is to introduce students to this vast chapter.

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Teaching hours

  • CMLectures6h
  • TDTutorial4h

Bibliography



References:

[1] Latombe, J. C. (2012). Robot motion planning (Vol. 124). Springer Science and Business Media.
[2] LaValle, S. M. (2006). Planning algorithms. Cambridge university press.
[3] Sutton, R. S., and Barto, A. G. (2018). Reinforcement learning: An introduction. MIT press.


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Assessment of knowledge

Initial assessment / Main session

Type of assessmentNature of assessmentDuration (in minutes)Number of testsEvaluation coefficientEliminatory evaluation markRemarks
Integral Continuous ControlContinuous control1

Second chance / Catch-up session

Type of assessmentNature of assessmentDuration (in minutes)Number of testsEvaluation coefficientEliminatory evaluation markRemarks
Final testOral0.4