
Eirik Solberg contributed to the CogitoNTNU/DeepTactics-Muzero repository by building and refining both backend AI infrastructure and user-facing frontend features over a three-month period. He implemented core Monte Carlo Tree Search algorithms and aligned backend integration with the MuZero architecture using Python and PyTorch, enabling scalable experimentation and improved AI decision-making. On the frontend, Eirik overhauled configuration UIs and enhanced team and game pages with React and TypeScript, focusing on maintainability and user experience. He addressed build and configuration stability, fixed parameter mapping bugs, and improved test reliability, demonstrating depth in both algorithmic development and robust, maintainable application design.

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.
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: 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.
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 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.
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.
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