Project 2-1 AI&ML Group 10
active 2024-09-07 → 2025-04-19 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 225 days from 2024-09-07 to 2025-04-19. Pushes: 15 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 112 total, peak 22 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| johnnnathan | 106 | 11 | 0 | 0 |
| aleks-uni | 11 | 1 | 0 | 0 |
| Adricastr | 5 | 0 | 0 | 0 |
| AlenQuirozEngel | 3 | 1 | 0 | 0 |
| DenizDervis | 2 | 2 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#65johnnnathan2025-01-15 18:23Polish the abstract and the introduction of the report.
- Issue#63johnnnathan2025-01-15 18:21Update the README file, to reference the work done in Phase 3
- Issue#62johnnnathan2025-01-15 18:20Fill in the presentation in accordance with the results of the experiments.
- Issue#61johnnnathan2025-01-15 18:19Finish the experiments section of the report, and start the conclusion.
- Issue#60johnnnathan2025-01-15 18:18Train the agent with enhanced sensors and compare it against the basic agent.
- Issue#59johnnnathan2025-01-15 18:18Create Graphs from the results of the agents' training, that will be used in the report.
- Issue#56johnnnathan2025-01-15 18:16Compile data, and prepare it for analysis in the report.
- Issue#58johnnnathan2025-01-15 18:16Create the bibliography file, that is compatible with the overleaf compiler.
- Issue#54johnnnathan2025-01-15 18:16Create the template for the presentation.
- Issue#55johnnnathan2025-01-15 18:16Perform comparison between different agent versions(basic vs enhanced)
- Issue#51johnnnathan2025-01-15 18:16Write experiments section of the report.
- Issue#52johnnnathan2025-01-15 18:16Continue gathering data, for the hyper-parameter tuning section of the report, and testing performance of multiple RL algorithms.
- Issue#53johnnnathan2025-01-15 18:16Create different config files for testing and performance comparison
- Issue#57johnnnathan2025-01-10 21:00Testing of multiple learning algorithms (examples: PPO, SAC, RND) to find their advantages and disadvantages
- Issue#58johnnnathan2025-01-10 20:56Create the bibliography file, that is compatible with the overleaf compiler.
- Issue#57Adricastr2025-01-10 20:55Testing of multiple learning algorithms (examples: PPO, SAC, RND) to find their advantages and disadvantages
- Issue#56johnnnathan2025-01-10 20:54Compile data, and prepare it for analysis
- Issue#55johnnnathan2025-01-10 20:54Perform comparison between different agent versions(basic vs enhanced)
- Issue#54johnnnathan2025-01-10 20:53Create the template for the presentation.
- Issue#46johnnnathan2025-01-10 20:50Decide on parameters that should be used for performance comparisons.
- Issue#48johnnnathan2025-01-10 20:50Create new experiment environments, in the Unity Editor
- Issue#53Adricastr2025-01-10 20:50Create different configs files for testing and performance comparison
- Issue#49johnnnathan2025-01-10 20:50Integrate docker to the project, using custom Dockerfiles
- Issue#52johnnnathan2025-01-10 20:47Continue gathering data, for the hyper-parameter tuning section of the report.
- Issue#51johnnnathan2025-01-10 20:47Write experiments section of the report.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.