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The following applies to DDPG and TD3, and possibly other models. The following libraries were installed in a virtual environment:
numpy==1.16.4
stable-baselines==2.10.0
gym==0.14.0
tensorflow==1.14.0
Episode rewards do not seem to be updated in model.learn() before callback.on_step(). Depending on which callback.locals variable is used, this means that:
- episode rewards may n
🐛 Bug
The documentation of DQN agent (https://stable-baselines3.readthedocs.io/en/master/modules/dqn.html) specifies that log_interval parameter is "The number of timesteps before logging". However, when set to 1 (or any other value) the logging is not made at that pace but is instead made every log_interval episode (and not timesteps). In the example below this is made every 200 timesteps.
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NonEmptyArray
Similar to NonEmptyObject, NonEmptyArray can also be a useful type essential in typescript codebases, specifically when working with rest parameters.
Implementation:
type NonEmptyArray<T> = [T, ...T[]]
const okay: NonEmptyArray<number> = [1, 2];
const alsoOkay: NonEmptyArray<n-
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I would like to see Uptime-Kuma get its own card like Pi-Hole and others.
Uptime-Kuma has APIs for the status pages:
Which returns the data that makes up the status page. We should be able to pull the overall status of All Systems Operational/Partially down f