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Implement Model Saving Mechanism #35

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StepNeverStop opened this issue Jan 8, 2021 · 0 comments
Closed

Implement Model Saving Mechanism #35

StepNeverStop opened this issue Jan 8, 2021 · 0 comments
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include save model based on:

  • training time cost
  • score performance of under-training policy
  • training timestep
  • ...
@StepNeverStop StepNeverStop self-assigned this Jan 8, 2021
@StepNeverStop StepNeverStop added the discussion Need more discuss or analyse label Jan 8, 2021
StepNeverStop added a commit that referenced this issue Jul 27, 2021
@StepNeverStop
perf: optimized code-style (#39, #35)
742da08
StepNeverStop added a commit that referenced this issue Jul 28, 2021
@StepNeverStop
perf: optimized code-style. (#45, #41, #39, #35, #25)
a3c989a 
1. removed sarl off-policy algorithm pd_ddpg, 'cause it's not in main stream
2. updated README
3. removed `iql` and added script `IndependentMA.py` instead to implement independent multi-agent algorithms
4. optimized summary writing
5. move NamedDict from 'rls.common.config' to 'rls.common.specs'
6. updated example config
7. updated `.gitignore`
8. added property `is_multi` to identify whether training task is for sarl or marl for both unity and gym
9. reconstructed inheritance relationships between algorithms and their's superclass
10. removed `1.e+18` in yaml files and use a large integer number instead, 'cause we want a large integer rather than float
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