Codesota · Benchmark · MuJoCoHome/Leaderboards/Robotics, Control & RL/Continuous Control/MuJoCo
Google DeepMind

MuJoCo.

Physics engine for continuous control tasks like walking, running, and manipulation.

Paper ↗Leaderboard ↓
§ 01 · Leaderboard

Results by metric.

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Average Return

Mean episodic return averaged across HalfCheetah, Hopper, and Walker2d at 1M steps.

Higher is better

Trust tiers for Average Returnverifiedpapervendorcommunityunverified

Muted rows were not state of the art when published — an earlier or same-year result already scored better.

RankModelTrustScoreYearLinksFix
01TD3
Fetched from CodeSOTA API on 2026-04-20
verified55922026Source ↗Looks wrong?
02SAC
Fetched from CodeSOTA API on 2026-04-20
verified51792026Source ↗Looks wrong?
03PPO
Fetched from CodeSOTA API on 2026-04-20
verified20382026Source ↗Looks wrong?
04TD-MPC2 (317M params)
Fetched from CodeSOTA API on 2026-04-20
vendor9602026Source ↗Looks wrong?
05TD-MPC2 (19M params)
Fetched from CodeSOTA API on 2026-04-20
vendor9532026Source ↗Looks wrong?
06FOWM
Fetched from CodeSOTA API on 2026-04-20
vendor9452026Source ↗Looks wrong?
07BRO
Fetched from CodeSOTA API on 2026-04-20
vendor9412026Source ↗Looks wrong?
08TD-MPC2 (5M params)
Fetched from CodeSOTA API on 2026-04-20
vendor9292026Source ↗Looks wrong?
09DreamerV3
Fetched from CodeSOTA API on 2026-04-20
vendor8972026Source ↗Looks wrong?
10TD-MPC
Fetched from CodeSOTA API on 2026-04-20
vendor8572026Source ↗Looks wrong?
11DrQ-v2
Fetched from CodeSOTA API on 2026-04-20
vendor7992026Source ↗Looks wrong?
12SAC (state-based)
Fetched from CodeSOTA API on 2026-04-20
vendor7772026Source ↗Looks wrong?
§ 04 · Submit a result

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