🔍 Implement efficient long-horizon task planning with this PyTorch reimplementation of Deep Hierarchical Planning, enhancing reinforcement learning frameworks.
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Updated
Mar 30, 2026 - Python
🔍 Implement efficient long-horizon task planning with this PyTorch reimplementation of Deep Hierarchical Planning, enhancing reinforcement learning frameworks.
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.
A File Synchronization System written in C, implementing a manager-worker architecture and utilizing inotify for real-time file monitoring and inter-process communication.
Scalable distributed NLP system using AWS EC2, SQS, and S3 with Manager-Worker architecture for parallel text analysis
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