机器人学2025年4月
RLDX-1: Reinforcement Learning for Dexterous Manipulation at Scale
OpenAI, Marcin Andrychowicz, Bowen Baker, Maciek Chociej, Rafal Jozefowicz, Bob McGrew, Jakub Pachocki, Arthur Petron, Matthias Plappert, Glenn Powell, Alex Ray, Jonas Schneider, Szymon Sidor, Josh Tobin, Peter Welinder, Lilian Weng, Wojciech Zaremba et al.Google DeepMind
摘要
RLDX-1 presents a scalable reinforcement learning framework for dexterous manipulation that combines large-scale simulation with efficient policy optimization to achieve human-level dexterous skills.
reinforcement learningdexterous manipulationscalablesimulation
技术细节
数据集
RLDX-Sim-Data
模型骨架
RLDX-1