Dominik Jain

> does the wheel in that place in your repro correpond to that revision or not? It does not. > how did it get there? It's hard to say. Since...

My assumption is that you * add the log handler to the `autogluon` logger to ensure that users receive output even IF they _have not_ configured logging * set `propagate...

Max and I have implemented the following solution in #1123: * We Introduced a new flag `is_within_training_step` which is enabled by the training algorithm when within a training step, where...

Notebooks and documentation have not been updated and still use the old way of setting train/eval mode.

Epochs primarily control the periodicity of performance validation (testing). And since Tianshou will keep the best policy according to these test rollouts, it's somewhat important. The term "epoch" is debatable,...

If you do not have `tianshou.highlevel`, you did not install tianshou correctly.

Indeed, this is a bug in Tianshou. The only way to move a policy to a new device is to apply a function like this: ```python def tianshou_module_with_device(m: torch.nn.Module, device:...

The best way to address this would be use abstractions already present in the high-level interface. Specifically, I would do it by passing an `OptimizerFactory` to each policy, along with...

We need to improve the developer docs in general and provide instructions that enable an installation of an environment that supports the full range of tasks. For instance, in order...

I started working on this two days ago. For the eager, you may have a look at the work in progress [here](https://github.com/aai-institute/tianshou/tree/feat/high-level-api). I'll post an update (and perhaps open a...