Generative Flow Networks: a Markov Chain Perspective

4 July 2023

Papers citing "Generative Flow Networks: a Markov Chain Perspective"

8 / 8 papers shown

Title
Secrets of GFlowNets' Learning Behavior: A Theoretical Study Tianshu Yu 26 0 0 04 May 2025
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training Julius Berner Lorenz Richter Marcin Sendera Jarrid Rector-Brooks Nikolay Malkin OffRL 60 3 0 10 Jan 2025
Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-GFlowNet and Entropy Integration Siyi He 28 0 0 01 Oct 2024
Flow of Reasoning:Training LLMs for Divergent Problem Solving with Minimal Examples Fangxu Yu Lai Jiang Haoqiang Kang Shibo Hao Lianhui Qin LRM AI4CE 101 10 0 09 Jun 2024
A Theory of Non-Acyclic Generative Flow Networks Leo Maxime Brunswic Yinchuan Li Yushun Xu Shangling Jui Lizhuang Ma 29 3 0 23 Dec 2023
Generative Flow Networks as Entropy-Regularized RL D. Tiapkin Nikita Morozov Alexey Naumov Dmitry Vetrov 40 28 0 19 Oct 2023
CFlowNets: Continuous Control with Generative Flow Networks Yinchuan Li Shuang Luo Haozhi Wang Jianye Hao 86 20 0 04 Mar 2023
Trajectory balance: Improved credit assignment in GFlowNets Nikolay Malkin Moksh Jain Emmanuel Bengio Chen Sun Yoshua Bengio 145 166 0 31 Jan 2022