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.

deeplearning goal-autoencoder hierarchical-rl machine-learning manager-worker neurips-2022 python pytorch reinforcement-learning research-paper rl-framework world-models

Last synced: 06 May 2026