Comments (2)
The memory leak seems to actually be affected by the TensorBoard metrics writer. Disabling it completely fixes this issue, but I'd still like to have some metrics logging before calling that a solution.
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Seems to be lessened when metrics intervals are increased. Closing as partially solved for now.
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Related Issues (20)
- Overlap rollout and update stages in training script
- Reward is always -1
- Reduce game log size
- Rollout model only ever exploring
- Implement TD learning
- Implement multi-step learning
- Use legal actions only when calculating TD target
- Encore not handling Pursuit properly
- Add more model evaluation baselines
- Use multiple threads for inference during training
- Allow multiple training games per thread
- Partial Python rewrite HOT 2
- Add recurrent DQN option
- Add prioritized replay
- Add noisy networks
- Error when running training HOT 10
- Simplify battle stream interface HOT 1
- Request for Assistance with Locking a Party of 6 Pokemon HOT 4
- Description of approach/results HOT 1
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