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Showing 2 open source projects for "high"
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EnvPool
C++-based high-performance parallel environment execution engine
EnvPool is a fast, asynchronous, and parallel RL environment library designed for scaling reinforcement learning experiments. Developed by SAIL at Singapore, it leverages C++ backend and Python frontend for extremely high-speed environment interaction, supporting thousands of environments running in parallel on a single machine. It's compatible with Gymnasium API and RLlib, making it suitable for scalable training pipelines. -
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Lattice Visualiser
LV10: High-coherence C++ lattice.
“Elara: a representational, Bayesian‑updating, multiplicative conceptual engine with material grounding and animal‑like dynamical behaviour.”
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