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Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #324 +/- ##
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- Coverage 96.83% 91.63% -5.21%
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Files 138 142 +4
Lines 7071 7643 +572
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+ Hits 6847 7003 +156
- Misses 224 640 +416 ☔ View full report in Codecov by Sentry. |
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Description
This PR is already complete in terms of implementation accuracy. We will merge it shortly after improving the code style and documentation.
Support Safe SLAC[1] algorithms for Safe Vision tasks in Safety-Gymnasium
[1]: Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation
Example Demo
safe_slac.mp4
Experiment and Performance
Motivation and Context
Vision-based safety tasks are of great significance for the safe exploration of agents. The interface for Safe Vision will promote the development of vision-based SafeRL algorithms.
Types of changes
What types of changes does your code introduce? Put an
xin all the boxes that apply:Checklist
Go over all the following points, and put an
xin all the boxes that apply.If you are unsure about any of these, don't hesitate to ask. We are here to help!
make format. (required)make lint. (required)make testpass. (required)