Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized
Control

Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control

23 February 2024

Masatoshi Uehara

Ehsan Hajiramezanali

Gabriele Scalia

Tommaso Biancalani

Papers citing "Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control"

13 / 13 papers shown

Title
DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control Junjie Wen Y. X. Zhu Jinming Li Zhibin Tang Chaomin Shen Feifei Feng VLM 53 12 0 09 Feb 2025
Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning Hanyang Zhao Haoxian Chen Ji Zhang D. Yao Wenpin Tang 55 0 0 03 Feb 2025
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets Zhen Liu Tim Z. Xiao Weiyang Liu Yoshua Bengio Dinghuai Zhang 123 2 0 10 Dec 2024
Diffusion-VLA: Scaling Robot Foundation Models via Unified Diffusion and Autoregression Junjie Wen Minjie Zhu Y. X. Zhu Zhibin Tang Jinming Li ... Chengmeng Li Xiaoyu Liu Yaxin Peng Chaomin Shen Feifei Feng 88 13 0 04 Dec 2024
Enhancing Exploration with Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation Huy Le Miroslav Gabriel Tai Hoang Gerhard Neumann Ngo Anh Vien 99 1 0 22 Nov 2024
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design Chenyu Wang Masatoshi Uehara Yichun He Amy Wang Tommaso Biancalani Avantika Lal Tommi Jaakkola Sergey Levine Hanchen Wang Aviv Regev 50 8 0 17 Oct 2024
An Efficient On-Policy Deep Learning Framework for Stochastic Optimal Control Mengjian Hua Matthieu Laurière Eric Vanden-Eijnden 31 3 0 07 Oct 2024
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization Siyi Gu Minkai Xu Alexander Powers Weili Nie Tomas Geffner Karsten Kreis J. Leskovec Arash Vahdat Stefano Ermon 45 7 0 01 Jul 2024
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models Sangwoong Yoon Himchan Hwang Dohyun Kwon Yung-Kyun Noh Frank C. Park 31 3 0 30 Jun 2024
Adding Conditional Control to Diffusion Models with Reinforcement Learning Yulai Zhao Masatoshi Uehara Gabriele Scalia Tommaso Biancalani Sergey Levine Ehsan Hajiramezanali Ehsan Hajiramezanali AI4CE 52 3 0 17 Jun 2024
Amortizing intractable inference in diffusion models for vision, language, and control S. Venkatraman Moksh Jain Luca Scimeca Minsu Kim Marcin Sendera ... Alexandre Adam Jarrid Rector-Brooks Yoshua Bengio Glen Berseth Nikolay Malkin 68 24 0 31 May 2024
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation Owen Oertell Jonathan D. Chang Yiyi Zhang Kianté Brantley Wen Sun EGVM 36 4 0 25 Mar 2024
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 311 11,915 0 04 Mar 2022