Guiding Diffusion Models with Reinforcement Learning for Stable Molecule Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Zhijian, An, Junyi, Liu, Zongkai, Shi, Yunfei, Zhang, Xuan, Cao, Fenglei, Qu, Chao, Qi, Yuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation Generation
by: An, Junyi, et al.
Published: (2026)
by: An, Junyi, et al.
Published: (2026)
Equivariant Spherical Transformer for Efficient Molecular Modeling
by: An, Junyi, et al.
Published: (2025)
by: An, Junyi, et al.
Published: (2025)
Equivariant Masked Position Prediction for Efficient Molecular Representation
by: An, Junyi, et al.
Published: (2025)
by: An, Junyi, et al.
Published: (2025)
Nested Spatio-Temporal Time Series Forecasting
by: Ai, Yinghao, et al.
Published: (2026)
by: Ai, Yinghao, et al.
Published: (2026)
CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models
by: Liu, Zongkai, et al.
Published: (2025)
by: Liu, Zongkai, et al.
Published: (2025)
Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning
by: Zhang, Xuan, et al.
Published: (2025)
by: Zhang, Xuan, et al.
Published: (2025)
Policy-regularized Offline Multi-objective Reinforcement Learning
by: Lin, Qian, et al.
Published: (2024)
by: Lin, Qian, et al.
Published: (2024)
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
by: Lin, Qian, et al.
Published: (2024)
by: Lin, Qian, et al.
Published: (2024)
Suiren-1.0 Technical Report: A Family of Molecular Foundation Models
by: An, Junyi, et al.
Published: (2026)
by: An, Junyi, et al.
Published: (2026)
DyJR: Preserving Diversity in Reinforcement Learning with Verifiable Rewards via Dynamic Jensen-Shannon Replay
by: Li, Long, et al.
Published: (2026)
by: Li, Long, et al.
Published: (2026)
A Pre-trained Reaction Embedding Descriptor Capturing Bond Transformation Patterns
by: Liu, Weiqi, et al.
Published: (2026)
by: Liu, Weiqi, et al.
Published: (2026)
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
by: Liu, Zongkai, et al.
Published: (2024)
by: Liu, Zongkai, et al.
Published: (2024)
The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward
by: Li, Long, et al.
Published: (2025)
by: Li, Long, et al.
Published: (2025)
ChemAmp: Amplified Chemistry Tools via Composable Agents
by: Li, Zhucong, et al.
Published: (2025)
by: Li, Zhucong, et al.
Published: (2025)
Imagination-Limited Q-Learning for Offline Reinforcement Learning
by: Liu, Wenhui, et al.
Published: (2025)
by: Liu, Wenhui, et al.
Published: (2025)
Advantage-Guided Diffusion for Model-Based Reinforcement Learning
by: Foffano, Daniele, et al.
Published: (2026)
by: Foffano, Daniele, et al.
Published: (2026)
ControlMol: Adding Substructure Control To Molecule Diffusion Models
by: Zhengyang, Qi, et al.
Published: (2024)
by: Zhengyang, Qi, et al.
Published: (2024)
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
by: Zheng, Yinan, et al.
Published: (2024)
by: Zheng, Yinan, et al.
Published: (2024)
Diffusion Guided Adversarial State Perturbations in Reinforcement Learning
by: Sun, Xiaolin, et al.
Published: (2025)
by: Sun, Xiaolin, et al.
Published: (2025)
Text-Guided Molecule Generation with Diffusion Language Model
by: Gong, Haisong, et al.
Published: (2024)
by: Gong, Haisong, et al.
Published: (2024)
Doubly Mild Generalization for Offline Reinforcement Learning
by: Mao, Yixiu, et al.
Published: (2024)
by: Mao, Yixiu, et al.
Published: (2024)
GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models
by: Tang, Xiaohang, et al.
Published: (2026)
by: Tang, Xiaohang, et al.
Published: (2026)
Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning
by: Yang, Yu, et al.
Published: (2026)
by: Yang, Yu, et al.
Published: (2026)
DLPO: Diffusion Model Loss-Guided Reinforcement Learning for Fine-Tuning Text-to-Speech Diffusion Models
by: Chen, Jingyi, et al.
Published: (2024)
by: Chen, Jingyi, et al.
Published: (2024)
ORPR: An OR-Guided Pretrain-then-Reinforce Learning Model for Inventory Management
by: Zhao, Lingjie, et al.
Published: (2025)
by: Zhao, Lingjie, et al.
Published: (2025)
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
by: Yuan, Yifu, et al.
Published: (2024)
by: Yuan, Yifu, et al.
Published: (2024)
DOMAIN: MilDly COnservative Model-BAsed OfflINe Reinforcement Learning
by: Liu, Xiao-Yin, et al.
Published: (2023)
by: Liu, Xiao-Yin, et al.
Published: (2023)
Exploratory Diffusion Model for Unsupervised Reinforcement Learning
by: Ying, Chengyang, et al.
Published: (2025)
by: Ying, Chengyang, et al.
Published: (2025)
Cross-Modality Controlled Molecule Generation with Diffusion Language Model
by: Zhang, Yunzhe, et al.
Published: (2025)
by: Zhang, Yunzhe, et al.
Published: (2025)
Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks
by: Tang, Xuan, et al.
Published: (2025)
by: Tang, Xuan, et al.
Published: (2025)
Anomaly Detection and Generation with Diffusion Models: A Survey
by: Liu, Yang, et al.
Published: (2025)
by: Liu, Yang, et al.
Published: (2025)
Unraveling the Potential of Diffusion Models in Small Molecule Generation
by: Zhang, Peining, et al.
Published: (2025)
by: Zhang, Peining, et al.
Published: (2025)
CausalGDP: Causality-Guided Diffusion Policies for Reinforcement Learning
by: Xiao, Xiaofeng, et al.
Published: (2026)
by: Xiao, Xiaofeng, et al.
Published: (2026)
Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning
by: Mao, Yixiu, et al.
Published: (2025)
by: Mao, Yixiu, et al.
Published: (2025)
Diffusion Models for Reinforcement Learning: Foundations, Taxonomy, and Development
by: Xu, Changfu, et al.
Published: (2025)
by: Xu, Changfu, et al.
Published: (2025)
Diffusion Models for Molecules: A Survey of Methods and Tasks
by: Wang, Liang, et al.
Published: (2025)
by: Wang, Liang, et al.
Published: (2025)
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
by: Wang, Haozhe, et al.
Published: (2025)
by: Wang, Haozhe, et al.
Published: (2025)
Stable Reinforcement Learning for Efficient Reasoning
by: Dai, Muzhi, et al.
Published: (2025)
by: Dai, Muzhi, et al.
Published: (2025)
Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
by: Huang, Xiao, et al.
Published: (2025)
by: Huang, Xiao, et al.
Published: (2025)
ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning
by: Liu, Zeyuan, et al.
Published: (2025)
by: Liu, Zeyuan, et al.
Published: (2025)
Similar Items
-
Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation Generation
by: An, Junyi, et al.
Published: (2026) -
Equivariant Spherical Transformer for Efficient Molecular Modeling
by: An, Junyi, et al.
Published: (2025) -
Equivariant Masked Position Prediction for Efficient Molecular Representation
by: An, Junyi, et al.
Published: (2025) -
Nested Spatio-Temporal Time Series Forecasting
by: Ai, Yinghao, et al.
Published: (2026) -
CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models
by: Liu, Zongkai, et al.
Published: (2025)