rl-framework

Here are 2 public repositories matching this topic...

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.

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

Updated Sep 10, 2025
Python

sup3rus3r / tensor-optix

Sponsor

Star

Autonomous reinforcement learning loop with adaptive hyperparameter tuning, multi-policy ensemble management, and framework-agnostic agent support. Self-converging via exponential backoff. Works with TensorFlow, PyTorch, JAX - bring any algorithm.

machine-learning reinforcement-learning deep-reinforcement-learning multi-agent neural-networks hyperparameter-tuning policy-optimization rl-framework convergence-detection

Updated Jun 19, 2026
Python

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