by Meta · 0 reviews
An open-source deep learning architecture for recommendation systems that combines dense and sparse features through embedding tables, interaction layers, and MLP components, used for CTR prediction and personalization.
by DLR-RM · 0 reviews
Open-source implementations of deep reinforcement learning algorithms in PyTorch with consistent interfaces and documentation.
by OpenAI · 0 reviews
A policy gradient reinforcement learning algorithm that balances sample complexity and simplicity through clipped probability ratios.
by Google DeepMind · 0 reviews
A foundational deep reinforcement learning algorithm combining Q-learning with neural networks, using experience replay and target networks.