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  1. README.md +47 -0
  2. group1-shard1of1.bin +3 -0
  3. model.json +1 -0
  4. ta-config.json +2 -0
README.md ADDED
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+ ---
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+ tags:
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+ - sac
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+ - deep-reinforcement-learning
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+ - reinforcement-learning
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+ - teach-my-agent-parkour
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+ model-index:
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+ - name: ALP-GMM_SAC_spider_s1
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+ ---
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+
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+ # Deep RL Agent Playing TeachMyAgent's parkour.
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+ You can find more info about TeachMyAgent [here](https://developmentalsystems.org/TeachMyAgent/).
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+
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+ Results of our benchmark can be found in our [paper](https://arxiv.org/pdf/2103.09815.pdf).
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+
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+ You can test this policy [here](https://huggingface.co/spaces/flowers-team/Interactive_DeepRL_Demo).
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+
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+ *This policy was not part of TeachMyAgent's benchmark*
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+
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+ ## Results
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+ Percentage of mastered tasks (i.e. reward >= 230) after 20 millions steps on the Parkour track.
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+
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+ 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.
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+
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+ We highlight the best results in bold.
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+
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+ | Algorithm | BipedalWalker | Fish | Climber | Overall |
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+ |---------------|----------------|---------------|--------------|---------------|
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+ | Random | 27.25 (± 10.7) | 23.6 (± 21.3) | 0.0 (± 0.0) | 16.9 (± 18.3) |
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+ | ADR | 14.7 (± 19.4) | 5.3 (± 20.6) | 0.0 (± 0.0) | 6.7 (± 17.4) |
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+ | ALP-GMM | **42.7** (± 11.2) | 36.1 (± 28.5) | 0.4 (± 1.2) | **26.4** (± 25.7) |
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+ | Covar-GMM | 35.7 (± 15.9) | 29.9 (± 27.9) | 0.5 (± 1.9) | 22.1 (± 24.2) |
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+ | GoalGAN | 25.4 (± 24.7) | 34.7 ± 37.0) | 0.8 (± 2.7) | 20.3 (± 29.5) |
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+ | RIAC | 31.2 (± 8.2) | **37.4** (± 25.4) | 0.4 (± 1.4) | 23.0 (± 22.4) |
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+ | SPDL | 30.6 (± 22.8) | 9.0 (± 24.2) | **1.0** (± 3.4) | 13.5 (± 23.0) |
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+ | Setter-Solver | 28.75 (± 20.7) | 5.1 (± 7.6) | 0.0 (± 0.0) | 11.3 (± 17.9) |
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+
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+ # Hyperparameters
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+ ```python
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+ {'student': 'SAC'
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+ 'environment': 'parkour'
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+ 'training_steps': 20000000
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+ 'n_evaluation_tasks': 100
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+ 'teacher': 'ALP-GMM'
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+ 'morphology': 'spider'}
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+ ```
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+
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ta-config.json ADDED
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+