Through a combination of classic papers and more recent work, students will explore automated decision-making from a computer-science perspective. They will examine efficient algorithms, where it exist, for single-agent and multi-agent planning as well as approaches to learning near-optimal decisions from experience.
| Instructor: | Charles Isbell |
| Provided by: | Udacity |
| Course language: | English |
| Fees: | free course |
| Level: | advanced |
| Certificate available? | (fee) |
| Format: | MOOC/online course |
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