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TA_RIAC_SAC_chimpanzee_s7
flowers-team/TA_RIAC_SAC_chimpanzee_s7
TA_RIAC_SAC_chimpanzee_s7 is a reinforcement learning model from flowers-team. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product.
You can find more info about TeachMyAgent here.
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Public
Updated Aug 11, 2022
Repo size
2.3 MB
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.bin2.3 MB · 99%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Aug 11, 2022
- Updated
- Aug 11, 2022
- SHA
- 7df6a9aa
Model card
From the Hugging Face model README
Deep RL Agent Playing TeachMyAgent's parkour.
You can find more info about TeachMyAgent here.
Results of our benchmark can be found in our paper.
You can test this policy here
Results
Percentage of mastered tasks (i.e. reward >= 230) after 20 millions steps on the Parkour track.
Results shown are averages over 16 seeds along with the standard deviation for each morphology as well as the aggregation of the 48 seeds in the Overall column.
We highlight the best results in bold.
| Algorithm | BipedalWalker | Fish | Climber | Overall |
|---|---|---|---|---|
| Random | 27.25 (± 10.7) | 23.6 (± 21.3) | 0.0 (± 0.0) | 16.9 (± 18.3) |
| ADR | 14.7 (± 19.4) | 5.3 (± 20.6) | 0.0 (± 0.0) | 6.7 (± 17.4) |
| ALP-GMM | 42.7 (± 11.2) | 36.1 (± 28.5) | 0.4 (± 1.2) | 26.4 (± 25.7) |
| Covar-GMM | 35.7 (± 15.9) | 29.9 (± 27.9) | 0.5 (± 1.9) | 22.1 (± 24.2) |
| GoalGAN | 25.4 (± 24.7) | 34.7 ± 37.0) | 0.8 (± 2.7) | 20.3 (± 29.5) |
| RIAC | 31.2 (± 8.2) | 37.4 (± 25.4) | 0.4 (± 1.4) | 23.0 (± 22.4) |
| SPDL | 30.6 (± 22.8) | 9.0 (± 24.2) | 1.0 (± 3.4) | 13.5 (± 23.0) |
| Setter-Solver | 28.75 (± 20.7) | 5.1 (± 7.6) | 0.0 (± 0.0) | 11.3 (± 17.9) |
Hyperparameters
{'student': 'SAC'
'environment': 'parkour'
'training_steps': 20000000
'n_evaluation_tasks': 100
'teacher': 'RIAC'
'morphology': 'climbing_profile_chimpanzee'}
- Task
- Reinforcement Learning
- Created
- Aug 11, 2022
- Updated
- Aug 11, 2022