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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 UC Berkeley · 0 reviews

An open-source framework for neural radiance field development providing plug-and-play components for NeRF-based 3D reconstruction from images.

by NVIDIA · 0 reviews

A framework for neural graphics primitives enabling fast training and rendering of neural radiance fields using learned hash tables.

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 Stanford University · 0 reviews

A deep learning architecture for directly processing point clouds without converting to regular grids, used for 3D object classification and segmentation.