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rl-environment

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Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

  • Updated Apr 25, 2022
  • Python

GPU-accelerated, multi-GPU traffic microsimulator built for HPC and RL research at city scale — powers ICML 2026 work on deep-RL ride-hailing dispatch and supports closed-loop policy training over networks with hundreds of thousands of nodes and millions of agents.

  • Updated May 20, 2026
  • Jupyter Notebook

SutroYaro — Sutro Group research workspace for energy-efficient AI training. Point any coding agent at the repo and it becomes a research agent. 34 experiments, eval environment, weekly catch-ups, multi-researcher workflow.

  • Updated May 29, 2026
  • Python

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