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Found 2 papers, 1 papers with code
AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning
Most existing large-scale RL systems for LLMs are synchronous, alternating generation and training in a batch setting where rollouts in each training batch are generated by the same model.
MoManifold: Learning to Measure 3D Human Motion via Decoupled Joint Acceleration Manifolds
Extensive experiments demonstrate that MoManifold outperforms existing SOTAs as a prior in several downstream tasks such as denoising real-world human mocap data, recovering human motion from partial 3D observations, mitigating jitters for SMPL-based pose estimators, and refining the results of motion in-betweening.
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