Cover Image

DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hu, Xuemin, Li, Shen, Xu, Yingfen, Tang, Bo, Chen, Long
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient Anti-exploration via VQVAE and Fuzzy Clustering in Offline Reinforcement Learning
by: Chen, Long, et al.
Published: (2026)

DiffCPS: Diffusion Model based Constrained Policy Search for Offline Reinforcement Learning
by: He, Longxiang, et al.
Published: (2023)

DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching
by: Li, Guanghe, et al.
Published: (2024)

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning
by: Qing, Yunpeng, et al.
Published: (2025)

Offline Reinforcement Learning with Generative Trajectory Policies
by: Feng, Xinsong, et al.
Published: (2025)

Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving
by: Hu, Xuemin, et al.
Published: (2024)

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
by: Hu, Jifeng, et al.
Published: (2025)

Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning
by: Zhang, Tianle, et al.
Published: (2024)

DyDiff: Long-Horizon Rollout via Dynamics Diffusion for Offline Reinforcement Learning
by: Zhao, Hanye, et al.
Published: (2024)

Hypercube Policy Regularization Framework for Offline Reinforcement Learning
by: Shen, Yi, et al.
Published: (2024)

Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning
by: Chen, Xiaocong, et al.
Published: (2024)

Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning
by: Kang, Hyungkyu, et al.
Published: (2025)

LLM-Driven Policy Diffusion: Enhancing Generalization in Offline Reinforcement Learning
by: Zhang, Hanping, et al.
Published: (2025)

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
by: Gao, Chen-Xiao, et al.
Published: (2025)

Auxiliary Discrminator Sequence Generative Adversarial Networks (ADSeqGAN) for Few Sample Molecule Generation
by: Tang, Haocheng, et al.
Published: (2025)

Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
by: Ma, Yunchang, et al.
Published: (2025)

Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
by: Huang, Xiao, et al.
Published: (2025)

Diffusion Policies creating a Trust Region for Offline Reinforcement Learning
by: Chen, Tianyu, et al.
Published: (2024)

Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning
by: Ada, Suzan Ece, et al.
Published: (2023)

Adaptive Scaling of Policy Constraints for Offline Reinforcement Learning
by: Jing, Tan, et al.
Published: (2025)

Efficient Online Reinforcement Learning for Diffusion Policy
by: Ma, Haitong, et al.
Published: (2025)

RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction
by: Wang, Xiucheng, et al.
Published: (2024)

Mildly Constrained Evaluation Policy for Offline Reinforcement Learning
by: Xu, Linjie, et al.
Published: (2023)

A Reinforcement Learning-Driven Transformer GAN for Molecular Generation
by: Li, Chen, et al.
Published: (2025)

Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
by: Liu, Xu-Hui, et al.
Published: (2024)

Policy-Based Trajectory Clustering in Offline Reinforcement Learning
by: Hu, Hao, et al.
Published: (2025)

Model-Informed Generative Adversarial Network (MI-GAN) for Learning Optimal Power Flow
by: Li, Yuxuan, et al.
Published: (2022)

CODA: Coordination via On-Policy Diffusion for Multi-Agent Offline Reinforcement Learning
by: Hedman, Marcel, et al.
Published: (2026)

Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses
by: Nguyen, Thanh, et al.
Published: (2024)

Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal
by: Hu, Jifeng, et al.
Published: (2024)

Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning
by: Zhang, Ruoqi, et al.
Published: (2024)

One-Step Flow Q-Learning: Addressing the Diffusion Policy Bottleneck in Offline Reinforcement Learning
by: Nguyen, Thanh, et al.
Published: (2025)

Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation
by: Jia, Chengxing, et al.
Published: (2024)

Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning
by: Fang, Linjiajie, et al.
Published: (2024)

Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay
by: Liu, Jinmei, et al.
Published: (2024)

Q-value Regularized Transformer for Offline Reinforcement Learning
by: Hu, Shengchao, et al.
Published: (2024)

Risk Management with Feature-Enriched Generative Adversarial Networks (FE-GAN)
by: Chen, Ling
Published: (2024)

Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
by: Mao, Liyuan, et al.
Published: (2024)

RadioDiff-$k^2$: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction
by: Wang, Xiucheng, et al.
Published: (2025)

MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators
by: Choi, Jinyoung, et al.
Published: (2021)