Cover Image

DO-IQS: Dynamics-Aware Offline Inverse Q-Learning for Optimal Stopping with Unknown Gain Functions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Kuchko, Anna
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Inverse Q-Learning Done Right: Offline Imitation Learning in $Q^π$-Realizable MDPs
by: Moulin, Antoine, et al.
Published: (2025)

UNIQ: Offline Inverse Q-learning for Avoiding Undesirable Demonstrations
by: Hoang, Huy, et al.
Published: (2024)

Learning to Stop: Deep Learning for Mean Field Optimal Stopping
by: Magnino, Lorenzo, et al.
Published: (2024)

Quantile Q-Learning: Revisiting Offline Extreme Q-Learning with Quantile Regression
by: Gao, Xinming, et al.
Published: (2025)

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

Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning
by: Nguyen, Thanh, et al.
Published: (2026)

OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning
by: Ahn, Woo-Jin, et al.
Published: (2025)

In-Context Compositional Q-Learning for Offline Reinforcement Learning
by: Xu, Qiushui, et al.
Published: (2025)

Imagination-Limited Q-Learning for Offline Reinforcement Learning
by: Liu, Wenhui, et al.
Published: (2025)

Mildly Conservative Q-Learning for Offline Reinforcement Learning
by: Lyu, Jiafei, et al.
Published: (2022)

Deep Transfer $Q$-Learning for Offline Non-Stationary Reinforcement Learning
by: Chai, Jinhang, et al.
Published: (2025)

Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning
by: Kim, Jeonghye, et al.
Published: (2024)

Adaptive Q-Chunking for Offline-to-Online Reinforcement Learning
by: Gireesh, Nandiraju, et al.
Published: (2026)

Deep Learning for the Multiple Optimal Stopping Problem
by: Laurière, Mathieu, et al.
Published: (2025)

Optimal Control of Nonlinear Systems with Unknown Dynamics
by: Hao, Wenjian, et al.
Published: (2023)

Rethinking Optimal Transport in Offline Reinforcement Learning
by: Asadulaev, Arip, et al.
Published: (2024)

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning
by: Sestini, Alessandro, et al.
Published: (2025)

Generalisation in Multitask Fitted Q-Iteration and Offline Q-learning
by: Manda, Kausthubh, et al.
Published: (2025)

UDQL: Bridging The Gap between MSE Loss and The Optimal Value Function in Offline Reinforcement Learning
by: Zhang, Yu, et al.
Published: (2024)

Offline Reinforcement Learning via Inverse Optimization
by: Dimanidis, Ioannis, et al.
Published: (2025)

Optimal Stopping in Latent Diffusion Models
by: Wu, Yu-Han, et al.
Published: (2025)

Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning
by: Mao, Yixiu, et al.
Published: (2025)

Exclusively Penalized Q-learning for Offline Reinforcement Learning
by: Yeom, Junghyuk, et al.
Published: (2024)

Peng's Q($λ$) for Conservative Value Estimation in Offline Reinforcement Learning
by: Kim, Byeongchan, et al.
Published: (2026)

Localized Dynamics-Aware Domain Adaption for Off-Dynamics Offline Reinforcement Learning
by: Xia, Zhangjie, et al.
Published: (2026)

Causal Flow Q-Learning for Robust Offline Reinforcement Learning
by: Li, Mingxuan, et al.
Published: (2026)

Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning
by: Park, Kwanyoung, et al.
Published: (2024)

Behavior-Adaptive Q-Learning: A Unifying Framework for Offline-to-Online RL
by: Zu, Lipeng, et al.
Published: (2025)

Q-value Regularized Decision ConvFormer for Offline Reinforcement Learning
by: Yan, Teng, et al.
Published: (2024)

Offline Hierarchical Reinforcement Learning via Inverse Optimization
by: Schmidt, Carolin, et al.
Published: (2024)

Zero-Shot Offline Imitation Learning via Optimal Transport
by: Rupf, Thomas, 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)

Bayesian Inverse Transition Learning: Learning Dynamics From Near-Optimal Trajectories
by: Benac, Leo, et al.
Published: (2024)

PIQL: Projective Implicit Q-Learning with Support Constraint for Offline Reinforcement Learning
by: Han, Xinchen, et al.
Published: (2025)

Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learning
by: Dong, Zhiqiang, et al.
Published: (2026)

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
by: Zhao, Kai, et al.
Published: (2023)

Near-Optimal Regret for Policy Optimization in Contextual MDPs with General Offline Function Approximation
by: Levy, Orin, et al.
Published: (2026)

Residual Q-Learning: Offline and Online Policy Customization without Value
by: Li, Chenran, et al.
Published: (2023)

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

On the Complexity of Offline Reinforcement Learning with $Q^\star$-Approximation and Partial Coverage
by: Liu, Haolin, et al.
Published: (2026)