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by DLR-RM · 0 reviews

Open-source implementations of deep reinforcement learning algorithms in PyTorch with consistent interfaces and documentation.

by Google DeepMind · 0 reviews

A free physics engine for simulating articulated structures and contact dynamics, widely used for robotics research, optimal control, and reinforcement learning.

by Stanford University · 0 reviews

An inductive representation learning framework for large graphs that samples and aggregates node features from local neighborhoods, enabling embeddings for unseen nodes.

by Mila / University of Cambridge · 0 reviews

A neural network architecture using masked self-attention on graph-structured data, learning different weights for different neighbor nodes.

by Amazon Web Services · 0 reviews

A framework for deep learning on graphs supporting PyTorch and TensorFlow, with optimized message passing primitives and distributed training.

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 University of Amsterdam · 0 reviews

A neural network architecture for semi-supervised learning on graph-structured data using efficient spectral approximations.