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hierarchical-rl

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sustain-cluster

SustainCluster: A high-fidelity, open-source Gymnasium environment for benchmarking multi-objective, sustainable workload scheduling across geo-distributed data centers. Integrates real-world AI traces, energy/carbon/weather data, and detailed DC physics.

  • Updated Jan 12, 2026
  • Jupyter Notebook

PyTorch reimplementation of "Deep Hierarchical Planning" RL framework. Features a multi-model architecture with manager-worker policies, world model, and goal autoencoder. Built with Python/PyTorch and includes experiment logging with Weights & Biases.

  • Updated Sep 10, 2025
  • Python

🔍 Implement efficient long-horizon task planning with this PyTorch reimplementation of Deep Hierarchical Planning, enhancing reinforcement learning frameworks.

  • Updated Mar 11, 2026
  • Python

A specialized Reinforcement Learning (RL) project focused on multi-task mastery across 10 distinct gaming environments. General-Gamer-AI-Lite implements a lightweight multi-task agent designed to learn shared representations and transfer knowledge between varied game mechanics, from classic arcade challenges to strategic grid worlds.

  • Updated Jan 26, 2026
  • Python

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