https://github.com/walidght/deep-hierarchical-planning
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.
https://github.com/walidght/deep-hierarchical-planning
deeplearning goal-autoencoder hierarchical-rl machine-learning manager-worker neurips-2022 python pytorch reinforcement-learning research-paper rl-framework world-models
Last synced: 3 months ago
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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.
- Host: GitHub
- URL: https://github.com/walidght/deep-hierarchical-planning
- Owner: walidght
- Created: 2025-09-10T16:28:53.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-09-10T17:01:47.000Z (11 months ago)
- Last Synced: 2025-09-10T20:45:46.802Z (11 months ago)
- Topics: deeplearning, goal-autoencoder, hierarchical-rl, machine-learning, manager-worker, neurips-2022, python, pytorch, reinforcement-learning, research-paper, rl-framework, world-models
- Language: Python
- Homepage: https://arxiv.org/abs/2206.04114
- Size: 859 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0