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.
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.
Assessment of knowledge
Initial assessment / Main session
| Type of assessment | Nature of assessment | Duration (in minutes) | Number of tests | Evaluation coefficient | Eliminatory evaluation mark | Remarks |
|---|---|---|---|---|---|---|
| Integral Continuous Control | Continuous control | 1 |
Second chance / Catch-up session
| Type of assessment | Nature of assessment | Duration (in minutes) | Number of tests | Evaluation coefficient | Eliminatory evaluation mark | Remarks |
|---|---|---|---|---|---|---|
| Final test | Oral | 0.4 |
