Cover Image

Distributional Reinforcement Learning with Diffusion Bridge Critics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ding, Shutong, Zhou, Yimiao, Hu, Ke, Pan, Mokai, Zhong, Shan, Fu, Yanwei, Wang, Jingya, Shi, Ye
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sample-Efficient Diffusion-based Reinforcement Learning with Critic Guidance
by: Ding, Shutong, et al.
Published: (2026)

GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning
by: Ding, Shutong, et al.
Published: (2025)

A Unified and Fast-Sampling Diffusion Bridge Framework via Stochastic Optimal Control
by: Pan, Mokai, et al.
Published: (2025)

Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
by: Ding, Shutong, et al.
Published: (2024)

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement
by: Ding, Shutong, et al.
Published: (2025)

Sample from What You See: Visuomotor Policy Learning via Diffusion Bridge with Observation-Embedded Stochastic Differential Equation
by: Liu, Zhaoyang, et al.
Published: (2025)

Path-Space Mirror Descent for On-Policy Reinforcement Learning under the Generalized Schrödinger Bridge
by: Gong, Yuehu, et al.
Published: (2026)

FlowCritic: Bridging Value Estimation with Flow Matching in Reinforcement Learning
by: Zhong, Shan, et al.
Published: (2025)

Guidance with Spherical Gaussian Constraint for Conditional Diffusion
by: Yang, Lingxiao, et al.
Published: (2024)

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control
by: Zhu, Kaizhen, et al.
Published: (2025)

Diffusion Bridge or Flow Matching? A Unifying Framework and Comparative Analysis
by: Zhu, Kaizhen, et al.
Published: (2025)

Harmonizing Generalization and Personalization in Federated Prompt Learning
by: Cui, Tianyu, et al.
Published: (2024)

DreamPolicy: A Unified World-model Policy for Scalable Humanoid Locomotion
by: Fan, Yahao, et al.
Published: (2025)

EvoNash-MARL: A Closed-Loop Multi-Agent Reinforcement Learning Framework for Medium-Horizon Equity Allocation
by: Jia, Chongliu, et al.
Published: (2026)

Adaptive Pruning of Pretrained Transformer via Differential Inclusions
by: Ding, Yizhuo, et al.
Published: (2025)

Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning
by: Shan, Zikang, et al.
Published: (2026)

Federated Distributional Reinforcement Learning with Distributional Critic Regularization
by: Millard, David, et al.
Published: (2026)

Stabilizing Reinforcement Learning for Diffusion Language Models
by: Zhong, Jianyuan, et al.
Published: (2026)

Actor-Critic Reinforcement Learning with Phased Actor
by: Wu, Ruofan, et al.
Published: (2024)

One-Shot Federated Learning with Classifier-Free Diffusion Models
by: Zaland, Obaidullah, et al.
Published: (2025)

RIDER: 3D RNA Inverse Design with Reinforcement Learning-Guided Diffusion
by: Hu, Tianmeng, et al.
Published: (2026)

Beyond Penalization: Diffusion-based Out-of-Distribution Detection and Selective Regularization in Offline Reinforcement Learning
by: Wang, Qingjun, et al.
Published: (2026)

Distributional Inverse Reinforcement Learning
by: Wu, Feiyang, et al.
Published: (2025)

A Review of Online Diffusion Policy RL Algorithms for Scalable Robotic Control
by: Choi, Wonhyeok, et al.
Published: (2026)

Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
by: Li, Hongxia, et al.
Published: (2024)

How Does Return Distribution in Distributional Reinforcement Learning Help Optimization?
by: Sun, Ke, et al.
Published: (2022)

Free Draft-and-Verification: Toward Lossless Parallel Decoding for Diffusion Large Language Models
by: Wu, Shutong, et al.
Published: (2025)

SHAP-Guided Kernel Actor-Critic for Explainable Reinforcement Learning
by: Li, Na, et al.
Published: (2025)

DSAC: Distributional Soft Actor-Critic for Risk-Sensitive Reinforcement Learning
by: Ma, Xiaoteng, et al.
Published: (2020)

Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning
by: Sun, Ke, et al.
Published: (2021)

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

Generative Actor-Critic with Soft Bridge Policies
by: He, Ke, et al.
Published: (2026)

CausalGDP: Causality-Guided Diffusion Policies for Reinforcement Learning
by: Xiao, Xiaofeng, et al.
Published: (2026)

Distributional Reinforcement Learning with Regularized Wasserstein Loss
by: Sun, Ke, et al.
Published: (2022)

The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards
by: Chen, Xi, et al.
Published: (2024)

Distributed Gradient Descent for Functional Learning
by: Yu, Zhan, et al.
Published: (2023)

PhaseNAS: Language-Model Driven Architecture Search with Dynamic Phase Adaptation
by: Kong, Fei, et al.
Published: (2025)

DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty
by: Cui, Mingxuan, et al.
Published: (2025)

Bridging Dynamics Gaps via Diffusion Schrödinger Bridge for Cross-Domain Reinforcement Learning
by: Zhang, Hanping, et al.
Published: (2026)

One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow
by: Wang, Zeyuan, et al.
Published: (2025)