Project Check-In

The purpose of this check-in is for you to convey your progress, present preliminary results, and communicate any changes, challenges, or significant learning moments you’ve encountered.

Instructions

1. Length

Prepare a written report, 1.5 to 2 pages in length 12pt single spaced. Figures and illustrations are more than welcome, but they don’t contribute to the document length.

2. Content Guide

While your presentation does not have to be finalized at this stage, if you have any tangible results or significant progress, showcase them. In the ideal case, your group will have completed at least one major implementation milestone. Examples of implementation milestones include:

• Code to run at least one experiment, if your project involves experimentation
• One training run of your agent, if your project involves RL
• Generation of a single profiling report, if your project involves performance profiling

3. Core Questions

Address the following questions:

• How has your project evolved since the proposal? Have there been any changes to the project idea or approach?
• What milestones or significant steps have you achieved so far?
• What challenges or obstacles have you encountered, and how did you address them?
• Have you learned anything surprising or unexpected while working on this project?
• Are there any changes in the AI technologies or methods you’re employing for the project?
• Do you anticipate any roadblocks or challenges in the coming stages? If so, how do you plan to address them?
• Reflecting on the feedback received from the proposal stage, have you made any alterations or taken any new directions?
• If you’ve obtained preliminary results, what do they signify about your project’s direction or outcomes?

4. Figures

You are encouraged to include figures, graphs, or illustrations that can help elucidate your progress or challenges. Ensure these are properly labeled, and provide a brief description or caption for each.

5. Reflection

Share some of your experiences while working on the project. Discuss what you’ve learned, any shifts in your perspective, or how this project has contributed to your understanding of AI’s application and potential.

6. Questions and Requests for Feedback

If there are specific areas where you’d like feedback or have questions, please highlight them in your report.

7. Contribution & Work Division

Please include a section indicating each group member’s contribution so far, and how you plan to divide the remaining work.

Evaluation Criteria

Your check-in will be evaluated based on:

• The clarity and coherence of your progress update
• Depth of reflection on experiences and challenges
• Relevance and quality of included figures or illustrations
• Demonstrated progress so far

Remember, the intent of this check-in is not to present a finished project but to convey what’s happened so far and get feedback.

Submission Instructions

1. Click the invitation link in the Course Info page for this assignment.
2. Create a Markdown file titled project_check_in.md. Include any images in your GitHub repository, and add them to the report using Markdown syntax.
3. Create a file named group_members.yaml, filled in with your group information.
4. Add, commit, and push all files including images, project_check_in.md and group_members.yaml to your student fork.

You do not need to submit code at this time. Please do not add large data files to your repository. Your total repository size for the checkin should be (far) less than 100MB.

Here is the format for group_members.yaml:

group_members:
  group_member_1:
    name:
    student_id:
    email:
    github_username:
  group_member_2:
    name:
    student_id:
    email:
    github_username:
  group_member_3:
    name:
    student_id:
    email:
    github_username:
  group_member_4:
    name:
    student_id:
    email:
    github_username:
  group_member_5:
    name:
    student_id:
    email:
    github_username:
  group_member_6:
    name:
    student_id:
    email:
    github_username:
  group_member_7:
    name:
    student_id:
    email:
    github_username:
  group_member_8:
    name:
    student_id:
    email:
    github_username: