3 papers
q-fin.RM2025
Robust Bayesian Dynamic Programming for On-policy Risk-sensitive Reinforcement Learning
Shanyu Han, Yangbo He, Yang Liu
We propose a novel framework for risk-sensitive reinforcement learning (RSRL) that incorporates robustness against transition uncertainty. We define two distinct yet coupled risk m…
cs.IR2025
MaRCA: Multi-Agent Reinforcement Learning for Dynamic Computation Allocation in Large-Scale Recommender Systems
Wan Jiang, Xinyi Zang, Yudong Zhao +7
Modern recommender systems face significant computational challenges due to growing model complexity and traffic scale, making efficient computation allocation critical for maximiz…
cs.CV2025
Think Before You Move: Latent Motion Reasoning for Text-to-Motion Generation
Yijie Qian, Juncheng Wang, Yuxiang Feng +7
Current state-of-the-art paradigms predominantly treat Text-to-Motion (T2M) generation as a direct translation problem, mapping symbolic language directly to continuous poses. Whil…