by Huawei Noah's Ark Lab · 0 reviews
An end-to-end wide-and-deep learning framework combining factorization machines and neural networks for click-through-rate prediction.
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.
by DLR-RM · 0 reviews
Open-source implementations of deep reinforcement learning algorithms in PyTorch with consistent interfaces and documentation.