Jupyter Notebook · MIT
simpler-env/SimplerEnv
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)
★ 1.2k
Stars
201 forks · 33 open issues
−1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
20.9
Momentum / 100
see the breakdown below
2y ago
Created
last push 38d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | −1.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran -0.62× the monthly pace |
| Freshness | 15 | 12.0 | last push 38d ago; decays to zero at 180 days |
| Scale | 15 | 8.9 | 1.2k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 20.9 | sum of the above |
Detail
| Topics | computer-visionembodied-aireal2simreinforcement-learningrobot-learningrobot-manipulationroboticsrobotics-benchmarkrobotics-simulation |
| Matched on | Robotics (robotics-simulation) |
| Short window | +-1 stars over 7 days = -0.1/day |
| Long window | +6 stars over 26 days = 0.2/day |
| Lifetime average | 1.23 stars/day over 957 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |