Linear Mixture Distributionally Robust Markov Decision Processes
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Zhishuai, Xu, Pan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Policy Regularized Distributionally Robust Markov Decision Processes with Linear Function Approximation
by: Gu, Jingwen, et al.
Published: (2025)
by: Gu, Jingwen, et al.
Published: (2025)
Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization
by: Tang, Cheng, et al.
Published: (2024)
by: Tang, Cheng, et al.
Published: (2024)
Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction
by: He, Yiting, et al.
Published: (2025)
by: He, Yiting, et al.
Published: (2025)
Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning
by: Wang, Ruhan, et al.
Published: (2024)
by: Wang, Ruhan, et al.
Published: (2024)
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning
by: Liu, Zhishuai, et al.
Published: (2024)
by: Liu, Zhishuai, et al.
Published: (2024)
How to Provably Improve Return Conditioned Supervised Learning?
by: Liu, Zhishuai, et al.
Published: (2025)
by: Liu, Zhishuai, et al.
Published: (2025)
Upper and Lower Bounds for Distributionally Robust Off-Dynamics Reinforcement Learning
by: Liu, Zhishuai, et al.
Published: (2024)
by: Liu, Zhishuai, et al.
Published: (2024)
Observation Adaptation via Annealed Importance Resampling for Partially Observable Markov Decision Processes
by: Zhang, Yunuo, et al.
Published: (2025)
by: Zhang, Yunuo, et al.
Published: (2025)
Policy Gradient for Robust Markov Decision Processes
by: Wang, Qiuhao, et al.
Published: (2024)
by: Wang, Qiuhao, et al.
Published: (2024)
The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning
by: von Hartz, Jan Ole, et al.
Published: (2025)
by: von Hartz, Jan Ole, et al.
Published: (2025)
Learning Causal Structure Distributions for Robust Planning
by: Murillo-Gonzalez, Alejandro, et al.
Published: (2025)
by: Murillo-Gonzalez, Alejandro, et al.
Published: (2025)
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model
by: Zhou, Zhehua, et al.
Published: (2024)
by: Zhou, Zhehua, et al.
Published: (2024)
Distributionally Robust Statistical Verification with Imprecise Neural Networks
by: Dutta, Souradeep, et al.
Published: (2023)
by: Dutta, Souradeep, et al.
Published: (2023)
Hierarchical Average-Reward Linearly-solvable Markov Decision Processes
by: Infante, Guillermo, et al.
Published: (2024)
by: Infante, Guillermo, et al.
Published: (2024)
Variational Distillation of Diffusion Policies into Mixture of Experts
by: Zhou, Hongyi, et al.
Published: (2024)
by: Zhou, Hongyi, et al.
Published: (2024)
Supervised Mixture-of-Experts for Surgical Grasping and Retraction
by: Mazza, Lorenzo, et al.
Published: (2026)
by: Mazza, Lorenzo, et al.
Published: (2026)
MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning
by: Guo, Yihong, et al.
Published: (2025)
by: Guo, Yihong, et al.
Published: (2025)
From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation
by: Yuan, Yifu, et al.
Published: (2025)
by: Yuan, Yifu, et al.
Published: (2025)
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient
by: Meggendorfer, Tobias, et al.
Published: (2024)
by: Meggendorfer, Tobias, et al.
Published: (2024)
RuleFuser: An Evidential Bayes Approach for Rule Injection in Imitation Learned Planners and Predictors for Robustness under Distribution Shifts
by: Patrikar, Jay, et al.
Published: (2024)
by: Patrikar, Jay, et al.
Published: (2024)
Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation
by: Guo, Yihong, et al.
Published: (2024)
by: Guo, Yihong, et al.
Published: (2024)
QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
by: Zhang, Grace, et al.
Published: (2023)
by: Zhang, Grace, et al.
Published: (2023)
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation
by: Liu, Zhishuai, et al.
Published: (2024)
by: Liu, Zhishuai, et al.
Published: (2024)
Localized Dynamics-Aware Domain Adaption for Off-Dynamics Offline Reinforcement Learning
by: Xia, Zhangjie, et al.
Published: (2026)
by: Xia, Zhangjie, et al.
Published: (2026)
Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity
by: Abuduweili, Abulikemu, et al.
Published: (2024)
by: Abuduweili, Abulikemu, et al.
Published: (2024)
Target Return Optimizer for Multi-Game Decision Transformer
by: Tatematsu, Kensuke, et al.
Published: (2025)
by: Tatematsu, Kensuke, et al.
Published: (2025)
Optimizing Sensor Redundancy in Sequential Decision-Making Problems
by: Nüßlein, Jonas, et al.
Published: (2024)
by: Nüßlein, Jonas, et al.
Published: (2024)
Robot Learning with Super-Linear Scaling
by: Torne, Marcel, et al.
Published: (2024)
by: Torne, Marcel, et al.
Published: (2024)
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
by: Liu, Tenglong, et al.
Published: (2024)
by: Liu, Tenglong, et al.
Published: (2024)
Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes
by: Infante, Guillermo, et al.
Published: (2021)
by: Infante, Guillermo, et al.
Published: (2021)
Dual Formulation for Non-Rectangular Lp Robust Markov Decision Processes
by: Kumar, Navdeep, et al.
Published: (2025)
by: Kumar, Navdeep, et al.
Published: (2025)
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes
by: Bennett, Andrew, et al.
Published: (2024)
by: Bennett, Andrew, et al.
Published: (2024)
RobotKeyframing: Learning Locomotion with High-Level Objectives via Mixture of Dense and Sparse Rewards
by: Zargarbashi, Fatemeh, et al.
Published: (2024)
by: Zargarbashi, Fatemeh, et al.
Published: (2024)
VIPER: Visual Perception and Explainable Reasoning for Sequential Decision-Making
by: Aissi, Mohamed Salim, et al.
Published: (2025)
by: Aissi, Mohamed Salim, et al.
Published: (2025)
Tiny Reinforcement Learning for Quadruped Locomotion using Decision Transformers
by: Akgün, Orhan Eren, et al.
Published: (2024)
by: Akgün, Orhan Eren, et al.
Published: (2024)
When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
by: Liu, Jun, et al.
Published: (2026)
by: Liu, Jun, et al.
Published: (2026)
Adaptive Gaussian Mixture Models-based Anomaly Detection for under-constrained Cable-Driven Parallel Robots
by: Garrido, Julio, et al.
Published: (2025)
by: Garrido, Julio, et al.
Published: (2025)
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)
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
by: Gu, Shangding, et al.
Published: (2025)
by: Gu, Shangding, et al.
Published: (2025)
Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making
by: Abdelhamid, M. Youssef, et al.
Published: (2025)
by: Abdelhamid, M. Youssef, et al.
Published: (2025)
Similar Items
-
Policy Regularized Distributionally Robust Markov Decision Processes with Linear Function Approximation
by: Gu, Jingwen, et al.
Published: (2025) -
Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization
by: Tang, Cheng, et al.
Published: (2024) -
Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction
by: He, Yiting, et al.
Published: (2025) -
Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning
by: Wang, Ruhan, et al.
Published: (2024) -
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning
by: Liu, Zhishuai, et al.
Published: (2024)