Provable Multi-Party Reinforcement Learning with Diverse Human Feedback

Provable Multi-Party Reinforcement Learning with Diverse Human Feedback

8 March 2024

Weijie J. Su

Zhiwei Steven Wu

Papers citing "Provable Multi-Party Reinforcement Learning with Diverse Human Feedback"

6 / 6 papers shown

Title
Contextual Online Uncertainty-Aware Preference Learning for Human Feedback Nan Lu Ethan X. Fang Junwei Lu 51 0 0 27 Apr 2025
Fairness in Reinforcement Learning: A Survey Anka Reuel Devin Ma OffRL FaML 24 4 0 11 May 2024
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation Xiaoyu Chen Han Zhong Zhuoran Yang Zhaoran Wang Liwei Wang 118 59 0 23 May 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 273 1,561 0 18 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017