Machine learning project that uses unity
active 2024-09-05 → 2024-09-26 (UTC)
Complete coverage26,561 / 26,561 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-25 (UTC)
Events
26
Pushes
3
Pull requests
0
Issues
13
Stars
0
Forks
0
Activity over time
Daily event counts in the loaded window
Line chart, 22 days from 2024-09-05 to 2024-09-26. Pushes: 3 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 13 total, peak 8 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
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| groundbeeflover | 15 | 2 | 0 | 0 |
| Kaktotak00p | 1 | 1 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#12groundbeeflover2024-09-26 13:34start building the planning pages of the project based on previous tasks
- Issue#11groundbeeflover2024-09-26 13:32Look at how to store things in memory for keeping track of other agents
- Issue#10groundbeeflover2024-09-26 13:30Decide whether it's worth to separate head and body movement as two separate entities
- Issue#9groundbeeflover2024-09-26 13:29Learn how to change the line of sight of the agents
- Issue#8groundbeeflover2024-09-26 13:22Investigate Vectors for Movement Prediction
- Issue#7groundbeeflover2024-09-26 13:22Find 3 Methods of Training For the Model
- Issue#1groundbeeflover2024-09-26 13:12Find 4 relevant academic papers on RL
- Issue#3groundbeeflover2024-09-26 13:12Start writing risk assesment
- Issue#6groundbeeflover2024-09-12 14:29Start writing intro
- Issue#5groundbeeflover2024-09-12 14:24Future planning start for report
- Issue#4groundbeeflover2024-09-12 14:22Start noting down useful RL features/scripts in unity
- Issue#3groundbeeflover2024-09-12 14:20Start writing risk assesment
- Issue#1groundbeeflover2024-09-12 14:18Find 4 relevant academic papers on RL
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.