Showing 5 of 5 projects
A research framework for fast prototyping of reinforcement learning algorithms, designed for easy experimentation and reproducibility.
An open-source benchmark suite of continuous control robotic manipulation environments for multi-task and meta reinforcement learning.
A C++-based high-performance parallel environment execution engine for vectorized reinforcement learning simulations.
A modular Python library for Reinforcement Learning with support for PyTorch, JAX, NVIDIA Warp, and multiple environment interfaces.
A high-performance, portable deep reinforcement learning library for continuous control, optimized for speed across CPUs, GPUs, and microcontrollers.
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