CogitoNTNU/DeepTactics-Muzero
Feb 2025 – Apr 2025
3 Months active
Languages Used
PythonText
Technical Skills
Algorithm ImplementationBackend DevelopmentCode RefactoringDependency ManagementEnvironment SetupGame Development
Kristian Carlenius
PROFILE
Kristian Carlenius
Kristian Carlenius developed a robust multi-environment reinforcement learning foundation for the DeepTactics-Muzero repository, focusing on scalable experimentation across games like CartPole, Breakout, Othello, and Tic-Tac-Toe. He implemented core backend integrations and Monte Carlo Tree Search scaffolding in Python, leveraging PyTorch for deep learning and neural network training. His work included dynamic environment configuration, dependency management, and extensive code refactoring to improve maintainability and reproducibility. By expanding test coverage, stabilizing training pipelines, and optimizing loss functions, Kristian enabled faster iteration and more reliable agent evaluation. The engineering demonstrated depth in both algorithmic implementation and practical system reliability.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
37Total
Bugs
2
Commits
37
Features
12
Lines of code
1,667
Activity Months3
Your Network
10 people
Work History
April 2025
8 Commits • 4 Features
Apr 1, 2025April 2025 monthly summary for CogitoNTNU/DeepTactics-Muzero. Focused on expanding test coverage, stabilizing training pipelines, and cleaning the codebase while removing non-functional backend components. These changes increase experiment reliability, training stability, and overall maintainability, enabling faster iteration and more robust evaluation of game environments.
8 Commits • 4 Features
Apr 1, 2025April 2025 monthly summary for CogitoNTNU/DeepTactics-Muzero. Focused on expanding test coverage, stabilizing training pipelines, and cleaning the codebase while removing non-functional backend components. These changes increase experiment reliability, training stability, and overall maintainability, enabling faster iteration and more robust evaluation of game environments.
April 2025
March 2025
11 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for CogitoNTNU/DeepTactics-Muzero focusing on delivering core environment integration, reliability fixes, and training-scale improvements that collectively increase agent quality and development velocity. The work emphasizes business value through faster experimentation, robust gameplay integration, and cleaner code health.
March 2025
11 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for CogitoNTNU/DeepTactics-Muzero focusing on delivering core environment integration, reliability fixes, and training-scale improvements that collectively increase agent quality and development velocity. The work emphasizes business value through faster experimentation, robust gameplay integration, and cleaner code health.
February 2025
18 Commits • 5 Features
Feb 1, 2025February 2025: Delivered a MuZero-ready multi-environment foundation for DeepTactics-Muzero, enabling rapid experimentation across games and robust tooling. Key environment integrations and dependency improvements support scalable training and reproducibility.
18 Commits • 5 Features
Feb 1, 2025February 2025: Delivered a MuZero-ready multi-environment foundation for DeepTactics-Muzero, enabling rapid experimentation across games and robust tooling. Key environment integrations and dependency improvements support scalable training and reproducibility.
February 2025
Activity
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Quality Metrics
Correctness84.4%
Maintainability86.6%
Architecture80.4%
Performance69.8%
AI Usage20.6%
Skills & Technologies
Programming Languages
PythonText
Technical Skills
Algorithm ImplementationBackend DevelopmentCode CleanupCode RefactoringConfiguration ManagementDeep LearningDependency ManagementEnvironment SetupGame DevelopmentGymnasiumMCTSMCTS AlgorithmMachine LearningNeural NetworksObject-Oriented Programming
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