ME

YaoYao1995/MEEE

Code to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).

446 67 +0/wk
GitHub
exploration-exploitation model-based-reinforcement-learning reinforcement-learning
Trend 0

Star & Fork Trend (20 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

YaoYao1995/MEEE has +0 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric MEEE pathml Awesome-RL-for-Video-Generation glasses
Stars 446 446445447
Forks 67 88136
Weekly Growth +0 +0+1+0
Language Python PythonN/AJupyter Notebook
Sources 1 111
License MIT GPL-2.0N/AMIT

Capability Radar vs pathml

MEEE
pathml
Maintenance Activity 0

Last code push 961 days ago.

Community Engagement 75

Fork-to-star ratio: 15.0%. 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.