Model card
SAC (state-based).
UC Berkeleyopen-source
§ 01 · Benchmarks
Every benchmark SAC (state-based) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | MuJoCo | Reinforcement Learning · Continuous Control | average-return | 777.00 | #9 | — | 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.
§ 02 · Strengths by area
Where SAC (state-based) actually performs.
§ 04 · Related models
Other UC Berkeley models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
icml-2018-paper
1
result
0 of 1 rows marked verified.