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Eirik Solberg

PROFILE

Eirik Solberg

Contributed to CogitoNTNU/DeepTactics-Muzero by building and refining both backend AI infrastructure and user-facing frontend features over three months. Developed core Monte Carlo Tree Search logic and aligned backend integration with the Muzero architecture using Python and PyTorch, enabling scalable experimentation and improved AI decision-making. Enhanced the frontend with React and TypeScript, delivering a configuration UI overhaul, dynamic game home page, and team section improvements. Addressed build stability, configuration mapping, and test reliability, ensuring smoother development workflows. Focused on code clarity, maintainability, and UI/UX polish, resulting in a more robust, user-friendly platform for reinforcement learning research and experimentation.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

45Total
Bugs
4
Commits
45
Features
8
Lines of code
2,561
Activity Months3

Work History

April 2025

17 Commits • 3 Features

Apr 1, 2025

April 2025 — Delivered user-facing UI improvements and strengthened frontend reliability for CogitoNTNU/DeepTactics-Muzero. Key features delivered include: About Page Team Section Enhancements with ImageCard components, verified GitHub/LinkedIn links, and new team member details; and a Game Home Page Overhaul with a data-driven source, dynamic rendering of game links, and streamlined styling. Major bugs fixed include frontend build and configuration stability, and a MuZero config mapping bug fix to ensure correct parameter flow. The team temporarily disabled a failing replay buffer test to stabilize CI while root causes are investigated. UI polish and readability improvements were applied to the configuration page for cleaner UX.

March 2025

16 Commits • 3 Features

Mar 1, 2025

March 2025: Major stability and UX enhancements for MuZero experiments. Delivered a frontend UI overhaul for MuZero configuration, added MCTS Node unit tests, migrated the ML framework optimizer from TensorFlow SGD to PyTorch SGD, and fixed a critical Action import path in the network module. These changes decrease experimentation cycle time, improve reliability, and align the stack with PyTorch-based training.

February 2025

12 Commits • 2 Features

Feb 1, 2025

February 2025 monthly summary for CogitoNTNU/DeepTactics-Muzero: This month focused on establishing a solid development foundation and advancing core AI capabilities. The work enables scalable experimentation, faster onboarding, and stronger alignment with Muzero-like architecture, laying the groundwork for improved AI-driven decisions and performance.

Activity

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Quality Metrics

Correctness90.4%
Maintainability92.4%
Architecture86.4%
Performance86.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

CSSGitHTMLJavaScriptPythonTypeScriptYAML

Technical Skills

Algorithm ImplementationBackend DevelopmentBuild ManagementCSSCode ClarityCode GenerationCode HighlightingCode OrganizationCode RefactoringComponent DesignComponent DevelopmentConfigurationConfiguration ManagementDeep LearningDependency Management

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

CogitoNTNU/DeepTactics-Muzero

Feb 2025 Apr 2025
3 Months active

Languages Used

GitPythonCSSHTMLJavaScriptTypeScriptYAML

Technical Skills

Algorithm ImplementationBackend DevelopmentCode OrganizationConfigurationConfiguration ManagementDeep Learning