Codesota · Models · SACUC Berkeley0 results · 0 benchmarks
Model card

SAC.

UC Berkeleyopen-sourceSoft Actor-Critic

Off-policy max-entropy RL for continuous control

§ 01 · Benchmarks

No recorded benchmark results yet.

This model is in the registry but doesn’t have any benchmark_results rows yet. If you have a score, submit it →

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.
§ 04 · Related models

Other UC Berkeley models scored on Codesota.

CQL (Conservative Q-Learning)
0 results
IQL (Implicit Q-Learning)
0 results
Octo-Base
0 results
SAC (state-based)
0 results