Comments (1)
Shmuma
commented on June 28, 2024
Hi! You can always press Ctrl-C on the console to interrupt the optimisation.
If you want to do this programmatically, it will be just inside the training loop:
if some_condition:
break
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Related Issues (20)
- Slower speed than book indicates HOT 3
- Where to find and how to restore dqn_speedup model? HOT 2
- ExperienceReplayBuffer stores second-last transition twice HOT 2
- Re-open "ExperienceReplayBuffer stores second-last transition twice" HOT 2
- It requires pytorch 1.3.0, but I can't download it HOT 8
- Which PyTorch version? HOT 2
- unable to install ptan HOT 1
- [FR] Possibility of rendering and testing the models after training.
- Weights should not affect probabilities in PrioReplayBuffer
- Unable to install ptan via pip (old versions of dependencies not available) HOT 2
- Is it possible to support PyTorch 1.5? HOT 3
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- Can not install ptan because of Pytorch version HOT 4
- Pytorch version 1.7.1
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