manifests/hopper_controller.json

{
  "citation": [
    {
      "text": "Trabucco et al. (2022), Design-Bench.",
      "url": "https://arxiv.org/abs/2202.08450"
    },
    {
      "text": "Todorov, Erez, and Tassa (2012), MuJoCo.",
      "url": "https://doi.org/10.1109/IROS.2012.6386109"
    }
  ],
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    },
    {
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    },
    {
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      ],
      "description": "Sample standard deviation divided by sqrt(500).",
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      "required": false
    }
  ],
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  "default_split": "policies",
  "description": "Design-Bench structured PPO controller checkpoints evaluated by 500 frozen stochastic Hopper-v5 rollouts per policy.",
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      ],
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      "name": "policy_weights"
    }
  ],
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      "media_type": "text/markdown",
      "path": "knowledge/shared/continuous-control-and-gaussian-policies.md",
      "title": "Continuous Control and Gaussian Policies"
    },
    "feedforward_neural_policy_parameterization": {
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      "media_type": "text/markdown",
      "path": "knowledge/shared/feedforward-neural-policy-parameterization.md",
      "title": "Feedforward Neural Policy Parameterization"
    },
    "hopper_locomotion_and_mujoco_dynamics": {
      "description": "Hopper-v5 body, observations, torque actions, reward and episode semantics, contact-rich locomotion, and MuJoCo simulation.",
      "media_type": "text/markdown",
      "path": "knowledge/design-bench/hopper_controller/hopper-locomotion-and-mujoco-dynamics.md",
      "title": "Hopper Locomotion and MuJoCo Dynamics"
    },
    "proximal_policy_optimization_and_policy_checkpoints": {
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      "title": "Proximal Policy Optimization and Policy Checkpoints"
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      "media_type": "text/markdown",
      "path": "knowledge/shared/reinforcement-learning-and-episodic-return.md",
      "title": "Reinforcement Learning and Episodic Return"
    },
    "stochastic_rollout_evaluation_and_uncertainty": {
      "description": "Repeated policy returns, distribution summaries, sampling uncertainty, heteroscedasticity, and common random numbers.",
      "media_type": "text/markdown",
      "path": "knowledge/shared/stochastic-rollout-evaluation-and-uncertainty.md",
      "title": "Stochastic Rollout Evaluation and Uncertainty"
    }
  },
  "license": "MIT",
  "schema_version": 1,
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      "name": "Design-Bench Hopper Controller policies",
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  ],
  "splits": [
    {
      "attributes": {
        "environment": "Hopper-v5",
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      "name": "policies",
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  ],
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      "description": "Arithmetic mean of the 500 episodic returns.",
      "name": "mean_return"
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  "version": "1.0.0"
}