MARL Benchmark Platform
A framework for fair comparison of MARL algorithms across categorized environments, with consistent configs and reliable metrics.
- CleanRL
- MARLlib
- Reproducibility
I’m a student, researcher, and developer building practical ML + software systems. Lately focused on multi-agent reinforcement learning benchmarking, simulation environments, and full-stack data tools.
# Current focus
Benchmarking MARL algorithms across environments (CleanRL + MARLlib),
emphasizing reproducibility, clean wrappers, and fair comparisons.
# Interests
ML systems • reinforcement learning • simulation tooling • data pipelines • clear interfaces.
# Status
This site is a lightweight home base — projects and write-ups are added as they mature.
A framework for fair comparison of MARL algorithms across categorized environments, with consistent configs and reliable metrics.
Traffic signal control experiments using SUMO-RL environments wrapped for MARLlib with repeatable training setups.
Turn Spotify data takeouts into enriched, “Wrapped”-style stats using clean data pipelines and a simple UI.
Interested in collaboration or swapping notes on ML systems and simulation tooling?