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Changelog for goal conditioning #5195
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com.unity.ml-agents/CHANGELOG.md
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@@ -39,6 +39,8 @@ sizes and will need to be retrained. (#5181) | |||
- Make com.unity.modules.physics and com.unity.modules.physics2d optional dependencies. (#5112) | |||
- The default `InferenceDevice` is now `InferenceDevice.Default`, which is equivalent to `InferenceDevice.Burst`. If you | |||
depend on the previous behavior, you can explicitly set the Agent's `InferenceDevice` to `InferenceDevice.CPU`. (#5175) | |||
- Added support for `Goal Signal` as a type of observation. Trainers can now use HyperNetowrks to process `Goal Signal`. (#5142, #5159, #5149) | |||
- Modified the GridWorld environment to use the new `Goal Signal` feature. (#5193) |
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Add hyperlink to the Gridworld section of the example envs
com.unity.ml-agents/CHANGELOG.md
Outdated
@@ -39,6 +39,8 @@ sizes and will need to be retrained. (#5181) | |||
- Make com.unity.modules.physics and com.unity.modules.physics2d optional dependencies. (#5112) | |||
- The default `InferenceDevice` is now `InferenceDevice.Default`, which is equivalent to `InferenceDevice.Burst`. If you | |||
depend on the previous behavior, you can explicitly set the Agent's `InferenceDevice` to `InferenceDevice.CPU`. (#5175) | |||
- Added support for `Goal Signal` as a type of observation. Trainers can now use HyperNetowrks to process `Goal Signal`. (#5142, #5159, #5149) |
There was a problem hiding this comment.
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- Added support for `Goal Signal` as a type of observation. Trainers can now use HyperNetowrks to process `Goal Signal`. (#5142, #5159, #5149) | |
- Added support for `Goal Signal` as a type of observation. Trainers can now use HyperNetworks to process `Goal Signal`. (#5142, #5159, #5149) |
com.unity.ml-agents/CHANGELOG.md
Outdated
@@ -39,6 +39,8 @@ sizes and will need to be retrained. (#5181) | |||
- Make com.unity.modules.physics and com.unity.modules.physics2d optional dependencies. (#5112) | |||
- The default `InferenceDevice` is now `InferenceDevice.Default`, which is equivalent to `InferenceDevice.Burst`. If you | |||
depend on the previous behavior, you can explicitly set the Agent's `InferenceDevice` to `InferenceDevice.CPU`. (#5175) | |||
- Added support for `Goal Signal` as a type of observation. Trainers can now use HyperNetowrks to process `Goal Signal`. (#5142, #5159, #5149) |
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Should we add a very short blurb as to what benefit using HyperNetworks does? e.g. "Trainers with hypernetworks are more effective at solving multiple tasks."
Proposed change(s)
Modify the changelog for the goal conditioning feature !
Useful links (Github issues, JIRA tickets, ML-Agents forum threads etc.)
Types of change(s)
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