yanzheb/explainable-reinforcement-learning

The most comprehensive XRL paper list: 277 papers (2016–2026) on interpretable and explainable RL. Surveys, saliency, counterfactuals, policy summarization and more.

54 9 +0/wk

GitHub

awesome awesome-list deep-reinforcement-learning explainability interpretability interpretable-ml reinforcement-learning rl survey xai xrl

Trend 0

Star & Fork Trend (14 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 54

forks 9

Growth Velocity

yanzheb/explainable-reinforcement-learning has +0 stars this period . Velocity data will be available after more historical data is collected.

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Signal-backed technical analysis will be available soon.

Metric	explainable-reinforcement-learning	Image-AI-Generator-2026	docmancer	Learn2Clean
Stars	54	54	54	54
Forks	9	0	2	20
Weekly Growth	+0	+3	+1	+0
Language	N/A	N/A	Python	Jupyter Notebook
Sources	1	1	1	1
License	MIT	MIT	MIT	N/A

Capability Radar vs Image-AI-Generator-2026

explainable-reinforcement-learning

Image-AI-Generator-2026

Maintenance Activity 100

Last code push 4 days ago.

Community Engagement 83

Fork-to-star ratio: 16.7%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.