ogyrec-o/gridworld-learning-lab
Minimal Gridworld + tabular Q-learning in Rust (reproducible metrics + deterministic GIF demos)
Rust1 stars0 forks
Topics
#cli#gridworld#q-learning#reinforcement-learning#reproducibility#rl#rust#simulation
What it does
The gridworld-learning-lab is a minimal Rust project that implements a 2D Gridworld environment with tabular Q-learning. It emphasizes reproducibility and evaluation in reinforcement learning, making it a valuable tool for researchers and developers interested in RL metrics and visual demonstrations.
Star history
Not enough history yet — 1 day(s) recorded. The daily snapshot builds this up.
Tracking
- Last trending
- 2026-02-21
Creator kit
Hook
Explore a minimal Rust project that showcases tabular Q-learning in a Gridworld environment with reproducible metrics!
Content angles
- Create a tutorial on implementing Q-learning algorithms using this Rust project.
- Develop a video series demonstrating the training process and metrics analysis of the Gridworld agent.
- Write a blog post comparing the performance of different reward shaping strategies in this Gridworld setup.
Who should care
Researchers, developers, and students interested in reinforcement learning and Rust programming.