Model card
SAC.
UC Berkeleyopen-sourceSoft Actor-Critic
Off-policy max-entropy RL for continuous control
§ 02 · Benchmarks
Every benchmark SAC has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | MuJoCo | Robotics, Control & RL · Continuous Control | average-return | 5179.00 | #2 | 2026-04-20 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 05 · Related models
Other UC Berkeley models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
codesota-api
1
result
1 of 1 rows marked verified.