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stable-baselines

hill-a / stable-baselines

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Episode rewards not updated before being used by callback.on_step()

3
calerc
calerc commented Nov 23, 2020

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
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good first issue question
stable-baselines3

DLR-RM / stable-baselines3

Star 3.1k
Open

[Bug] Tensorboard logging not logging every log_interval timesteps

1
YannBerthelot
YannBerthelot commented Jan 18, 2022

🐛 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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bug documentation good first issue

cloudposse / geodesic

Sponsor
Star 738

🚀 Geodesic is a DevOps Linux Toolbox in Docker. We use it as an interactive cloud automation shell. It's the fastest way to get up and running with a rock solid Open Source toolchain. ★ this repo! https://slack.cloudposse.com/

shell docker kubernetes dockerfile aws devops ec2 containers terraform alpine helm kubernetes-cluster toolbox infrastructure-management infrastructure-as-code k8s elasticbeanstalk kops kubectl helmfile
  • Updated Mar 22, 2022
  • Shell

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