Code for hierarchical signal coordination using hybrid model-based and RL approach.
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Updated
Aug 13, 2025 - Python
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hierarchical-rl
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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.
python machine-learning reinforcement-learning pytorch deeplearning research-paper world-models rl-framework neurips-2022 hierarchical-rl manager-worker goal-autoencoder
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Sep 10, 2025 - Python
🔍 Implement efficient long-horizon task planning with this PyTorch reimplementation of Deep Hierarchical Planning, enhancing reinforcement learning frameworks.
python machine-learning reinforcement-learning deep-learning decision-making pytorch planning gaia multiagent-systems general-purpose research-paper hierarchical-reinforcement-learning multimodel rl-framework sparse-rewards hierarchical-rl manager-worker goal-autoencoder
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Updated
Oct 29, 2025 - Python
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