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Description
Description:
Refine and enhance the logic for CMHMEngine2
to improve the accuracy and utility of the AI-generated heatmaps. Utilize game outcomes and performance metrics to inform and optimize the engine's decision-making process.
Scope of Work:
- Logic Refinement:
- Analyze current shortcomings in
CMHMEngine2
logic, such as inaccuracies in heatmap generation or inefficiencies in decision-making. - Incorporate game outcomes and historical data to improve predictive accuracy.
- Analyze current shortcomings in
- Algorithm Improvement:
- Explore advanced techniques, such as reinforcement learning or heuristic adjustments, to enhance the engine's performance.
- Optimize existing algorithms for better efficiency and scalability.
- Testing:
- Benchmark the engine's performance before and after refinements.
- Test the engine with a variety of game scenarios to ensure robustness.
- Documentation:
- Update the codebase documentation to reflect changes in the engine's logic.
- Provide usage examples and guidelines for developers.
Acceptance Criteria:
- The logic for
CMHMEngine2
is refined to improve accuracy and efficiency. - Performance benchmarks show measurable improvements.
- The engine performs well across diverse game scenarios.
- Documentation is updated to reflect the changes and improvements.
Additional Context (Optional):
- Reference File:
CMHMEngine2
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