Author

Xiang-Xiang Chu

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Preprint Sep 2026

The Right Future for Action: Learning Action-Relevant Predictive States in World Action Models

Generation-free world action models (WAMs) retain future-video prediction during training but act from internal video features at inference, leaving unclear what these features should preserve for control. Our representation diagnostics show that representations with more predictable future changes need not make linear...

Qiwen Gu, Jifan Li, Bing-Jie Gao et al. · 0 citations

#machine learning Preprint Sep 2026

IntBMoE: Integrating Block-Level Conditioning into Expert Composition for Full-Participation Mixture-of-Experts

Mixture-of-Experts (MoE) scales capacity, but existing designs cannot set three quantities independently. For a single token, participation is how many experts contribute knowledge to its output, execution is how many are actually computed (compute cost), and materialization is how many expert-sized parameter sets must...

Ran Cheng, Longfei Xu, Zheng Liu et al. · 0 citations

Preprint Aug 2026

SkillForge: Evolving Verifiable Skills for Reinforcement Learning Agents

Large language model (LLM) agents are trained with reinforcement learning (RL) for complex decision-making tasks. However, most RL-trained agents remain episodic and cannot accumulate reusable knowledge across episodes. Recent skill-based approaches, such as SkillRL, attempt to address this issue by extracting skills f...

Shidong Yang, Ziyu Ma, Tongwen Huang et al. · 2 citations