facebookresearch / rlstructures
RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, and different RL algorithms provided as examples.
Summary
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| Main Code: 10,895 LOC (122 files) = PY (100%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 1,265 LOC (35); |
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| Duplication: 66% | |||
| File Size: 0% long (>1000 LOC), 64% short (<= 200 LOC) | |||
| Unit Size: 23% long (>100 LOC), 43% short (<= 10 LOC) | |||
| Conditional Complexity: 1% complex (McCabe index > 50), 60% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (18 components) | ||
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11 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
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Features of interest:
TODOs
1 file |
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Latest commit date: 2021-10-27
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