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--- public:t-720-atai:atai-19:engineering_assignment_2 [2019/10/03 09:52] – thorisson
+++ public:t-720-atai:atai-19:engineering_assignment_2 [2024/04/29 13:33] (current) – external edit 127.0.0.1
@@ Line 7: / Line 7: @@
 ====== Control Assignment 1 ======
-**Percentage Points** (of final grade): 5.
+**Percentage Points** (of final grade): 7.
 **Individual work:** You should do this assignment alone.
@@ Line 14: / Line 14: @@
 ====DESCRIPTION====
-Referring to [[public:t-720-atai:atai-19:control_assignment_1|Control Assignment 1]], implement a reinforcement learner that can do what you learned in part (a) of that assignment, i.e. learn to keep the thrust in a 1000-point range for 5 seconds. This will be done in two parts:
+Referring to [[public:t-720-atai:atai-19:control_assignment_1|Control Assignment 1]], implement a reinforcement learner that can do what you learned in PART-1 of that assignment (piloting the alien space ship off the planet), i.e. learn to keep the thrust in a 1000-point range for 5 seconds. This will be done in two parts:
 ==Part 1==
-First, write a detailed report (max 4 pages) detailing everything about how you would go about implementing such a reinforcement learner for that task. The description must be detailed enough that it could be given to your fellow student to implement, and they would not have to second-guess any key detail of the design. //Make sure to note any challenges or limitations that, compared with human performance on the task, are implied by or inherent in your design.// You may use any reinforcement learning mechanism of your choice (Q-learning, SARSA, etc.).
+First, write a detailed specification/report (max 4 pages) detailing everything about how you would go about implementing such a reinforcement learner for that task. The description must be detailed enough that it could be given to your fellow student to implement, and they would not have to second-guess any key detail of the design. //Make sure to note any challenges or limitations that, compared with human performance on the task, are implied by or inherent in your design.// You may use any reinforcement learning mechanism of your choice (Q-learning, SARSA, etc.).
 ==Part 2==