Why choose this project topic?
A study of examining unintended behaviours caused by poorly specified rewards in simulation gives this topic a concrete purpose beyond simply adding an AI model. Comparing task completion, constraint violations and reward exploitation helps a student demonstrate capability, inspect failure cases and explain where human review or a simpler method remains necessary.
How effectively can reinforcement learning reward sensitivity support examining unintended behaviours caused by poorly specified rewards in simulation, evaluated using task completion, constraint violations and reward exploitation?
Choose a feasible licensed or synthetic dataset and available compute budget, then agree a narrow evaluation for examining unintended behaviours caused by poorly specified rewards in simulation with your supervisor.
Proposed project objectives
- 01Define the task, evidence and evaluation assumptions for examining unintended behaviours caused by poorly specified rewards in simulation.
- 02Use a bounded grid task, vary reward components and compare learned policies against independent success and safety criteria.
- 03Measure task completion, constraint violations and reward exploitation against a stated baseline and analyse failure cases.
A suggested research approach
Use a bounded grid task, vary reward components and compare learned policies against independent success and safety criteria. Check dataset permissions and keep evaluation examples separate from model development. Record model versions, prompts or training settings, then compare task completion, constraint violations and reward exploitation using repeatable runs and retain incorrect outputs for a transparent limitations discussion.
What you will need
- Grid simulator
- Documented reward variants
- Independent evaluation rules
Keep your project scope clear
Simulation illustrates specification problems and does not demonstrate safe autonomous real-world behaviour. Generated project writing does not include a trained or deployed AI application.
Artificial Intelligence project chapter outline
Use this outline as a starting point. You can edit the chapter titles to match your department’s format during setup.
- Chapter 1Introduction
- Chapter 2Literature Review
- Chapter 3System Analysis and Design
- Chapter 4System Implementation and Testing
- Chapter 5Summary, Conclusion and Recommendations
Turn this topic into your own final year project.
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