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Jul 24, 2019
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Updated docs with reset parameter values
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sankalp04 committed Jul 24, 2019
commit d0d7ed51fb66de8e231f1ce15d9f7d39ae1d6618
40 changes: 38 additions & 2 deletions docs/Learning-Environment-Examples.md
Original file line number Diff line number Diff line change
Expand Up @@ -213,7 +213,27 @@ If you would like to contribute environments, please see our
* Vector Action space: (Continuous) Size of 4, corresponding to torque
applicable to two joints.
* Visual Observations: None.
* Reset Parameters: Two, corresponding to goal size, and goal movement speed.
* Reset Parameters: Five, corresponding to the following
* goal_size: radius of the goal zone
* Default: 5
* Recommended Minimum: 1
* Recommended Maximum: 10
* goal_speed: speed of the goal zone around the arm (in radians)
* Default: 1
* Recommended Minimum: 0.2
* Recommended Maximum: 4
* gravity
* Default: 9.81
* Recommended Minimum: 4
* Recommended Maximum: 20
* deviation: Magnitude of sinusoidal (cosine) deviation of the goal along the vertical dimension
* Default: 0
* Recommended Minimum: 0
* Recommended Maximum: 5
* deviation_freq: Frequency of the cosine deviation of the goal along the vertical dimension
* Default: 0
* Recommended Minimum: 0
* Recommended Maximum: 3
* Benchmark Mean Reward: 30

## [Crawler](https://youtu.be/ftLliaeooYI)
Expand Down Expand Up @@ -378,7 +398,23 @@ If you would like to contribute environments, please see our
* Vector Action space: (Continuous) Size of 39, corresponding to target
rotations applicable to the joints.
* Visual Observations: None.
* Reset Parameters: None.
* Reset Parameters: Four, corresponding to the following
* gravity: Magnitude of gravity
* Default: 9.81
* Recommended Minimum:
* Recommended Maximum:
* hip_mass: Mass of the hip component of the walker
* Default: 15
* Recommended Minimum: 7
* Recommended Maximum: 28
* chest_mass: Mass of the chest component of the walker
* Default: 8
* Recommended Minimum: 3
* Recommended Maximum: 20
* spine_mass: Mass of the spine component of the walker
* Default: 10
* Recommended Minimum: 3
* Recommended Maximum: 20
* Benchmark Mean Reward: 1000

## Pyramids
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