task_id stringclasses 6
values | env stringclasses 6
values | suite stringclasses 1
value | type stringclasses 2
values | obs_dim int64 11 376 | act_dim int64 2 17 | max_steps int64 50 1k | baseline_ppo_return float64 -4.2 5.8k |
|---|---|---|---|---|---|---|---|
hopper-v5 | Hopper-v5 | gymnasium | locomotion | 11 | 3 | 1,000 | 3,183.2 |
halfcheetah-v5 | HalfCheetah-v5 | gymnasium | locomotion | 17 | 6 | 1,000 | 5,803.9 |
walker2d-v5 | Walker2d-v5 | gymnasium | locomotion | 17 | 6 | 1,000 | 4,918.5 |
ant-v5 | Ant-v5 | gymnasium | locomotion | 27 | 8 | 1,000 | 886.6 |
humanoid-v5 | Humanoid-v5 | gymnasium | locomotion | 376 | 17 | 1,000 | 573.8 |
reacher-v5 | Reacher-v5 | gymnasium | manipulation | 11 | 2 | 50 | -4.2 |
MuJoCo Gymnasium v5 Benchmark
PPO evaluation benchmark on MuJoCo Gymnasium v5 locomotion and manipulation environments.
Tasks
| Task ID | Name |
|---|---|
| hopper-v5 | Hopper-v5 |
| halfcheetah-v5 | HalfCheetah-v5 |
| walker2d-v5 | Walker2d-v5 |
| ant-v5 | Ant-v5 |
| humanoid-v5 | Humanoid-v5 |
| reacher-v5 | Reacher-v5 |
Usage
Submit evaluation results to this benchmark by adding .eval_results/*.yaml files
to your model repo, referencing this dataset's task IDs.
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