Image de couverture de livre

Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Jing, Fang, Linjiajie, Shi, Kexin, Wang, Wenjia, Jing, Bing-Yi
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning
par: Fang, Linjiajie, et autres
Publié: (2024)

Optimistic Q-learning for average reward and episodic reinforcement learning
par: Agrawal, Priyank, et autres
Publié: (2024)

Online reinforcement learning via sparse Gaussian mixture model Q-functions
par: Vu, Minh, et autres
Publié: (2025)

Causal prompting model-based offline reinforcement learning
par: Yu, Xuehui, et autres
Publié: (2024)

HyperQ-Opt: Q-learning for Hyperparameter Optimization
par: Hasan, Md. Tarek
Publié: (2024)

Regularized Q-learning
par: Lim, Han-Dong, et autres
Publié: (2022)

Transfer Q-learning
par: Chen, Elynn, et autres
Publié: (2022)

Generalisation in Multitask Fitted Q-Iteration and Offline Q-learning
par: Manda, Kausthubh, et autres
Publié: (2025)

DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation
par: Park, Jaehyun, et autres
Publié: (2024)

Q-learning with Posterior Sampling
par: Agrawal, Priyank, et autres
Publié: (2025)

Constant Stepsize Q-learning: Distributional Convergence, Bias and Extrapolation
par: Zhang, Yixuan, et autres
Publié: (2024)

An Index Policy Based on Sarsa and Q-learning for Heterogeneous Smart Target Tracking
par: Hao, Yuhang, et autres
Publié: (2024)

Deep Double Q-learning
par: Nagarajan, Prabhat, et autres
Publié: (2025)

A Finite Sample Complexity Bound for Distributionally Robust Q-learning
par: Wang, Shengbo, et autres
Publié: (2023)

Sample Complexity of Variance-reduced Distributionally Robust Q-learning
par: Wang, Shengbo, et autres
Publié: (2023)

Gap-Dependent Bounds for Federated $Q$-learning
par: Zhang, Haochen, et autres
Publié: (2025)

Q-learning as a monotone scheme
par: Yang, Lingyi
Publié: (2024)

Enhanced Bayesian Personalized Ranking for Robust Hard Negative Sampling in Recommender Systems
par: Shi, Kexin, et autres
Publié: (2024)

Deep Q-Network (DQN) multi-agent reinforcement learning (MARL) for Stock Trading
par: Tidwell, John Christopher, et autres
Publié: (2025)

Q-learning with Adjoint Matching
par: Li, Qiyang, et autres
Publié: (2026)

Gaussian Approximation for Asynchronous Q-learning
par: Rubtsov, Artemy, et autres
Publié: (2026)

Experimental evaluation of offline reinforcement learning for HVAC control in buildings
par: Wang, Jun, et autres
Publié: (2024)

Expert or not? assessing data quality in offline reinforcement learning
par: Asadulaev, Arip, et autres
Publié: (2025)

VA-learning as a more efficient alternative to Q-learning
par: Tang, Yunhao, et autres
Publié: (2023)

MinMaxMin $Q$-learning
par: Soffair, Nitsan, et autres
Publié: (2024)

Is Q-learning an Ill-posed Problem?
par: Wissmann, Philipp, et autres
Publié: (2025)

rQdia: Regularizing Q-Value Distributions With Image Augmentation
par: Lerman, Sam, et autres
Publié: (2025)

PyCFRL: A Python library for counterfactually fair offline reinforcement learning via sequential data preprocessing
par: Zhang, Jianhan, et autres
Publié: (2025)

Q-learning with temporal memory to navigate turbulence
par: Rando, Marco, et autres
Publié: (2024)

Regularized Q-learning through Robust Averaging
par: Schmitt-Förster, Peter, et autres
Publié: (2024)

Stabilizing Extreme Q-learning by Maclaurin Expansion
par: Omura, Motoki, et autres
Publié: (2024)

Asymptotic Analysis of Sample-averaged Q-learning
par: Panda, Saunak Kumar, et autres
Publié: (2024)

Periodic agent-state based Q-learning for POMDPs
par: Sinha, Amit, et autres
Publié: (2024)

Tensor-Efficient High-Dimensional Q-learning
par: Wu, Junyi, et autres
Publié: (2025)

Maximum entropy GFlowNets with soft Q-learning
par: Mohammadpour, Sobhan, et autres
Publié: (2023)

Model predictive control-based value estimation for efficient reinforcement learning
par: Wu, Qizhen, et autres
Publié: (2023)

Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error
par: Li, Haoran, et autres
Publié: (2024)

Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learning
par: Benechehab, Abdelhakim, et autres
Publié: (2024)

Robust $Q$-learning Algorithm for Markov Decision Processes under Wasserstein Uncertainty
par: Neufeld, Ariel, et autres
Publié: (2022)

Cost-optimal Sequential Testing via Doubly Robust Q-learning
par: Zhou, Doudou, et autres
Publié: (2026)