Unverified50% confidenceFactExact time
"Market-based Post-training" (MPT) is a framework that lets a decentralized swarm of agents simultaneously learn action strategies and self-orchestration.
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10/16/2026
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UnverifiedThe core mechanism of MPT is to let agents express their willingness to participate through bidding; bids determine who takes action and how the collective outcome provides local training credit, thereby enabling joint learning of action strategies and bidding behavior without a central coordinator.77% similarUnverifiedBy constructing supervisory signals from the data itself, self-supervised learning has become the core training strategy for large-scale pre-trained models such as BERT, GPT, and MAE.70% similarVerified"Post-training" is the alignment and capability enhancement phase following pre-training, and typically includes SFT, RLHF, and reinforcement learning based on process reward models (such as GRPO and DAPO).69% similarUnverified继续预训练（CPT）是在通用基座模型上用领域语料进行额外的无监督训练，让模型吸收领域知识68% similarUnverifiedThe research team evaluated MPT on three tasks—embodied crafting, robot navigation, and deep research—and the results show that its performance surpasses monolithic post-training, and that agents' participation patterns evolve with learning.68% similar
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