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--- |
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tags: |
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- PandaReachDense-v3 |
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- ppo |
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- deep-reinforcement-learning |
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- reinforcement-learning |
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- custom-implementation |
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- deep-rl-course |
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model-index: |
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- name: Actor-Critic |
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results: |
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- task: |
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type: reinforcement-learning |
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name: reinforcement-learning |
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dataset: |
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name: PandaReachDense-v3 |
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type: PandaReachDense-v3 |
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metrics: |
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- type: mean_reward |
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value: -1.54 +/- 1.04 |
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name: mean_reward |
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verified: false |
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--- |
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# Actor-Critic Agent Playing PandaReachDense-v3 |
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This is a trained model of an A2C agent playing PandaReachDense-v3. |
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# Hyperparameters |
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hp_seed: 2444<br />hp_torch_deterministic: True<br />hp_total_timesteps: 20500<br />hp_critic_nstep: 1<br />hp_num_envs: 12<br />hp_learning_rate_actor: 0.001<br />hp_learning_rate_critic: 0.005<br />hp_minlr_actor: 2e-06<br />hp_minlr_critic: 1e-05<br />hp_gamma: 0.99<br />hp_reg_term: 3<br />hp_batch_size: 64 |
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