In this environment, the agent navigates a 3x3 grid, trying to move from a starting position to a goal position. The agent receives rewards for reaching the goal and negative penalties for moving into an obstacle. The task is to learn an optimal policy (best sequence of actions) for reaching the goal with the highest cumulative reward.
active 2025-03-05 → 2025-03-05 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-03-05 to 2025-03-05. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 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 |
|---|---|---|---|---|
| Smithis | 1 | 1 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
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.