facebookresearch / deep_bisim4control
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Summary
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| Main Code: 6,201 LOC (51 files) = PY (99%) + YML (<1%) Secondary code: Test: 580 LOC (7); Generated: 0 LOC (0); Build & Deploy: 230 LOC (6); Other: 2,008 LOC (27); |
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| Duplication: 32% | |||
| File Size: 0% long (>1000 LOC), 54% short (<= 200 LOC) | |||
| Unit Size: 9% long (>100 LOC), 62% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 72% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (10 components) | ||
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1 year, 3 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
2 files |
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Latest commit date: 2021-08-09
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