Probabilistic Decision Making

Lecture, three hours; discussion, one hour. Requisite: course 100A. Recommended preparation: experience with Python. Formulation of decision making problem as probabilistic inference. Derivation algorithms for solving probabilistic decision making. Implementation of code that executes inference and decision. Covers Markov decision process, planning, search, and reinforcement learning. Letter grading.

Review Summary

Clarity
N/A
Organization
N/A
Time
N/A
Overall
N/A

Enrollment Progress

Jul 9, 4 PM PDT
LEC 1: 70/70 seats taken (Full)
First passPriority passSecond pass3 days6 days9 days12 days15 days18 days21 days24 days020406080

Section List

  • LEC 1

    Closed

    MW 11am-12:15pm

    Geology Building 4660

Course

Instructor
Tao Gao
Previously taught
22F 21F 21W 20W

Previous Grades

A+AA-B+BB-C+CC-D+DD-F0%20%40%60%