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      docs/Learning-Environment-Examples.md

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docs/Learning-Environment-Examples.md


![Walker](images/walker.png)
- Set-up: Physics-based Humanoids agents with 26 degrees of freedom. These DOFs
- Set-up: Physics-based Humanoid agents with 26 degrees of freedom. These DOFs
- Agents: The environment contains 11 independent agents with same Behavior
- `WalkerStatic` - Goal direction is always forward.
- `WalkerDynamic`- Goal direction is randomized.
- Agents: The environment contains 10 independent agents with same Behavior
- +0.03 times body velocity in the goal direction.
- +0.01 times head y position.
- +0.01 times body direction alignment with goal direction.
- -0.01 times head velocity difference from body velocity.
- +0.02 times body velocity in the goal direction. (run towards target)
- +0.01 times head direction alignment with goal direction. (face towards target)
- +0.005 times head y position - left foot y position. (encourage head height)
- +0.005 times head y position - right foot y position. (encourage head height)
- Vector Observation space: 215 variables corresponding to position, rotation,
- Vector Observation space: 236 variables corresponding to position, rotation,
rotations applicable to the joints.
rotations and strength applicable to the joints.
- Visual Observations: None
- Float Properties: Four
- gravity: Magnitude of gravity

- Default: 10
- Recommended Minimum: 3
- Recommended Maximum: 20
- Benchmark Mean Reward: 1000
- Benchmark Mean Reward for `WalkerStatic`: 1500
- Benchmark Mean Reward for `WalkerDynamic`: 700
## Pyramids

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