ENTITY Brax

Brax

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RESEARCH · CL_11904 · May 1 · 04:00

New C++ engine HASE achieves 33M steps/sec for multi-agent RL training

Researchers have developed a new C++ engine called Hide-And-Seek-Engine (HASE) designed to significantly improve the efficiency of training reinforcement learning agents in decentralized, partially observable environmen…