Amy Zhang

Assistant Professor, University of Texas at Austin

4 papers at NeurIPS 2025

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Poster Session 1

1 paper

Wednesday, December 3, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

Information-Theoretic Reward Decomposition for Generalizable RLHF

#311 · Liyuan Mao, Haoran Xu, Amy Zhang, Weinan Zhang, Chenjia Bai

In this paper, we decompose the reward value into prompt-free reward and prompt-related reward from a information-theoretic perspective, and use the former to guide reward training.

Poster Session 3

1 paper

Thursday, December 4, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

Uni-RL: Unifying Online and Offline RL via Implicit Value Regularization

#303 · Haoran Xu, Liyuan Mao, Hui Jin, Weinan Zhang, Xianyuan Zhan, Amy Zhang

A unified and scalable RL framework applicable to online, offline, and offline-to-online settings.

Poster Session 5

1 paper

Friday, December 5, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

ExPO: Unlocking Hard Reasoning with Self-Explanation-Guided Reinforcement Learning

#4009 · Ruiyang Zhou, Shuozhe Li, Amy Zhang, Liu Leqi

Poster Session 6

1 paper

Friday, December 5, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

RLZero: Direct Policy Inference from Language Without In-Domain Supervision

#302 · Harshit Sikchi, Siddhant Agarwal, Pranaya Jajoo, Samyak Parajuli, Caleb Chuck, Max Rudolph, Peter Stone, Amy Zhang, Scott Niekum

A method to produce policies directly from language instructions without in-domain supervision