Poster · Sydney

DiPO: Disentangled Perplexity Policy Optimization for Fine-grained Exploration-Exploitation Trade-Off

Name: DiPO: Disentangled Perplexity Policy Optimization for Fine-grained Exploration-Exploitation Trade-Off
Start: 2026-12-09T17:00:00+11:00
End: 2026-12-09T20:00:00+11:00
Location: Hall 1-4, ICC Sydney

When: Wed 9 Dec 2026, 17:00–20:00 AEDT
Where: Hall 1-4, ICC Sydney
Exhibition Centre, Level 1
Session: Sydney Poster Session 4
Authors: Xiaofan Li, Ming Yang, Zhiyuan Ma, Shichao Ma, Jintao Du, Yu Cheng, Weiqiang Wang, zhizhong zhang, Xin Tan, Yanyun Qu, Lizhuang Ma, Yuan Xie
Organisations: East China Normal University, Fudan University, Shanghai Jiao Tong University, University of Science and Technology of China, Ant Group, University of Southern California, Xiamen University, Dept. of Computer Sci
QRS classification: Reinforcement learning, Language models, Representation and transfer learning

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