omerbsezer/Reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

792 187 +0/wk

GitHub

a3c actor-critic deep-reinforcement-learning dyna dynamic-programming imitation-learning machine-learning meta-learning policy-gradient pomdps q-learning reinforcement-learning

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Star & Fork Trend (35 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 792

forks 187

Growth Velocity

omerbsezer/Reinforcement_learning_tutorial_with_demo has +0 stars this period . Velocity data will be available after more historical data is collected.

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Metric	Reinforcement_learning_tutorial_with_demo	swift-apis	3D-convolutional-speaker-recognition	Machine_Learning_Tutorials
Stars	792	792	792	792
Forks	187	135	267	257
Weekly Growth	+0	+0	+0	+0
Language	Jupyter Notebook	Swift	Python	Jupyter Notebook
Sources	1	1	1	1
License	N/A	Apache-2.0	Apache-2.0	N/A

Capability Radar vs swift-apis

Reinforcement_learning_tutorial_with_demo

swift-apis

Maintenance Activity 0

Last code push 2634 days ago.

Community Engagement 100

Fork-to-star ratio: 23.6%. 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 30

No clear license detected — proceed with caution.

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