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Per community feedback from the slack channel, It would be helpful if during compilation Clara would warn when a rule bound a variable but didn't use it. This sort of warning would be helpful to trac…
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`A subClassOf B and R some C` is currently shielded from relax.
This has a long chain of unintended consequences...
chatgpt suggests the following which I think is correct:
```java
// Assumi…
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Currently, all camera movement is fixed to the map, would I be able to have them all be relative to the character? it doesn't have to follow the character, but move the point of focus to the current t…
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Currently, there are only three maps in which RL agent will learn driving. If I want to add more scenarios ( e.g. a straight road with a static obstacle in the middle of the road), how could I do that…
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Click to expand!
### Issue Type
Bug
### Source
binary
### Tensorflow Version
2.8.0
### Custom Code
Yes
### OS Platform and Distribution
ARM8 (Raspberry Pi 4) with 8GB RAM
### Mobile devi…
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@jnnr I actually thought that `load_b3_scalars()` turned the `var_value` of output_parameters and input_parameters into a dictionaries already. But seems like that's not the case. Here it is a string.…
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**Describe the user story**
As a package releaser, I'd like to be able to merge all features into master (regardless of whether they are patch, minor, or major), but still be able to release *some*…
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# Background
I've been able to successfully run all Cases in this repo within a virtual environment. In it, I am using `pyelastica==0.1.0.post5`
However, if I keep all things the same but changed …
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Hello,I'm sorry to bother you. I have read your program recently and received a lot of help.But there are some things I am not quite clear about, such as how the IEEE33 action space is selected (why t…
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Just curious, have you compared this to a greedy and/or combinatorial approach?
In other words, why use RL for this problem?