dougtrajano / term-projects-2021

Repository for Term Project Material in 2021

Term Projects 2021

Repository for Term Project Material in 2021

Presentation Schedule

Proposals (Online Teams)

Time Slot	Title	Presenter
9h50	Operator-Counting Heuristics in HTN Planning	Daniela Kuinchtner
10h05	Plan Recognition for Behavior Estimation in a Robotic Soccer Player	Douglas Tesch
10h20	Using Automated Planning in data centers fault tolerance systems	Douglas Trajano
10h35	Planning Confident Predictions for Semi-Supervised Learning	Eduardo Pooch
10h50	Reinforcement Learning for Goal Recognition	Gabriel Henrique
11h20	Explainable AI Planning in Urban Traffic	Marlon Silva
11h50	Planning medical oxygen supply distribution to treat hospitalized COVID-19 patients	Thiago Ferreira

Final Presentation (Online Teams)

Time Slot	Title	Presenter
9h50	Planning medical oxygen supply distribution to treat hospitalized COVID-19 patients	Thiago Ferreira
10h05	Explainable AI Planning in Urban Traffic	Marlon Silva
10h20	Reinforcement Learning for Goal Recognition	Gabriel Henrique
10h35	Planning Confident Predictions for Semi-Supervised Learning	Eduardo Pooch
10h50	Using Automated Planning in data centers fault tolerance systems	Douglas Trajano
11h20	Plan Recognition for Behavior Estimation in a Robotic Soccer Player	Douglas Tesch
11h50	Operator-Counting Heuristics in HTN Planning	Daniela Kuinchtner

Assessment Criteria

Part 1: Project presentation

The first assessment grading criteria is as follows (you should follow the proposed structure).

• Application Domain Complexity (30%) -- How complex the application domain you selected is difficult to model, yet realistically achievable within the course.
• Paper readability (40%) -- How well written the 2-page paper you wrote is, we break this down into the following criteria
  • 20% -- Introduction clarity: how well does the introduction answer these questions: what is the problem? Why is it an important problem? How do aim to solve it? And what follows from your proposed solution?
  • 10% -- How well do you refer to background material and relate it your proposed application area?
  • 10% -- How detailed and realistic you plan the work for the rest of the semester?
• Presentation clarity (30%) -- How well you presented your project proposal, which we break down into three criteria
  • 10% -- Use of time during the presentation
  • 10% -- Slide quality (conciseness, use of figures, etc)
  • 10% -- Presentation organization

Part 2: Project Report

The second assessment grading criteria uses two main criteria First, the technical form of the project

• Application Domain Complexity (15%) -- How complex the application domain you selected is difficult to model, yet realistically achievable within the course.
• Domain Modelling (15%) -- How close to the underlying domain is the planning model developed in the project? Are the proposed simplifications justified? What is the trade-off of these simplifications?
• Problem Complexity (15%) -- How complex are the problem instances used in the experimentation? Are these instances computationally challenging or are they just toy problems?
• Formalism Appropriateness (15%) -- Is the selected formalism (Classical Planning of various types, HTN planning, reinforcement learning) appropriate for the selected domain? Is this selection justified?

Second, the report describing the project and its results

• Report Clarity (10%): Is the report clearly written, following the guidelines for part 1
• Report Problem Description (15%): Does the report describe the problem being addressed with enough detail that it can be replicated?
• Report Implementation (15%): Does the report describe the solution both technically and theoretically in a way that allows others to replicate it?

Part 3: Final Presentation

The same criteria for the project presentation applies to the final presentation, with the following weights

• 30% -- Use of time during the presentation
• 30% -- Slide quality (conciseness, use of figures, etc)
• 40% -- Presentation organization