Similar Items
Online Residual Learning from Offline Experts for Pedestrian Tracking
by: Vlachos, Anastasios, et al.
Published: (2024)
by: Vlachos, Anastasios, et al.
Published: (2024)
Offline Reinforcement Learning via Inverse Optimization
by: Dimanidis, Ioannis, et al.
Published: (2025)
by: Dimanidis, Ioannis, et al.
Published: (2025)
Offline-Online Reinforcement Learning for Linear Mixture MDPs
by: Zhang, Zhongjun, et al.
Published: (2026)
by: Zhang, Zhongjun, et al.
Published: (2026)
Reward-Relevance-Filtered Linear Offline Reinforcement Learning
by: Zhou, Angela
Published: (2024)
by: Zhou, Angela
Published: (2024)
Offline Hierarchical Reinforcement Learning via Inverse Optimization
by: Schmidt, Carolin, et al.
Published: (2024)
by: Schmidt, Carolin, et al.
Published: (2024)
Operator Models for Continuous-Time Offline Reinforcement Learning
by: Hoischen, Nicolas, et al.
Published: (2025)
by: Hoischen, Nicolas, et al.
Published: (2025)
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning
by: Di, Qiwei, et al.
Published: (2023)
by: Di, Qiwei, et al.
Published: (2023)
Offline Reinforcement Learning via Linear-Programming with Error-Bound Induced Constraints
by: Ozdaglar, Asuman, et al.
Published: (2022)
by: Ozdaglar, Asuman, et al.
Published: (2022)
A Covering Framework for Offline POMDPs Learning using Belief Space Metric
by: Zhu, Youheng, et al.
Published: (2026)
by: Zhu, Youheng, et al.
Published: (2026)
Towards Optimal Offline Reinforcement Learning
by: Li, Mengmeng, et al.
Published: (2025)
by: Li, Mengmeng, et al.
Published: (2025)
On the Convergence of Gradient Descent on Learning Transformers with Residual Connections
by: Qin, Zhen, et al.
Published: (2025)
by: Qin, Zhen, et al.
Published: (2025)
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning
by: Zhang, Dake, et al.
Published: (2024)
by: Zhang, Dake, et al.
Published: (2024)
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence
by: Xiao, Minheng, et al.
Published: (2024)
by: Xiao, Minheng, et al.
Published: (2024)
Provable Offline Reinforcement Learning for Structured Cyclic MDPs
by: Lee, Kyungbok, et al.
Published: (2026)
by: Lee, Kyungbok, et al.
Published: (2026)
Offline Policy Learning with Weight Clipping and Heaviside Composite Optimization
by: Liu, Jingren, et al.
Published: (2026)
by: Liu, Jingren, et al.
Published: (2026)
Reinforcement Learning and Regret Bounds for Admission Control
by: Weber, Lucas, et al.
Published: (2024)
by: Weber, Lucas, et al.
Published: (2024)
Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems
by: Suttle, Wesley A., et al.
Published: (2024)
by: Suttle, Wesley A., et al.
Published: (2024)
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
by: Shen, Han, et al.
Published: (2024)
by: Shen, Han, et al.
Published: (2024)
On the Global Convergence of Risk-Averse Natural Policy Gradient Methods with Expected Conditional Risk Measures
by: Yu, Xian, et al.
Published: (2023)
by: Yu, Xian, et al.
Published: (2023)
Towards Fast Rates for Federated and Multi-Task Reinforcement Learning
by: Zhu, Feng, et al.
Published: (2024)
by: Zhu, Feng, et al.
Published: (2024)
Grower-in-the-Loop Interactive Reinforcement Learning for Greenhouse Climate Control
by: Xiao, Maxiu, et al.
Published: (2025)
by: Xiao, Maxiu, et al.
Published: (2025)
Reinforcement Learning-based Control via Y-wise Affine Neural Networks (YANNs)
by: Braniff, Austin, et al.
Published: (2025)
by: Braniff, Austin, et al.
Published: (2025)
Heuristics for Combinatorial Optimization via Value-based Reinforcement Learning: A Unified Framework and Analysis
by: Davidovich, Orit, et al.
Published: (2025)
by: Davidovich, Orit, et al.
Published: (2025)
Wait-Less Offline Tuning and Re-solving for Online Decision Making
by: Sun, Jingruo, et al.
Published: (2024)
by: Sun, Jingruo, et al.
Published: (2024)
Resilient Constrained Reinforcement Learning
by: Ding, Dongsheng, et al.
Published: (2023)
by: Ding, Dongsheng, et al.
Published: (2023)
Improved Regret Bound for Safe Reinforcement Learning via Tighter Cost Pessimism and Reward Optimism
by: Yu, Kihyun, et al.
Published: (2024)
by: Yu, Kihyun, et al.
Published: (2024)
DLMMPR:Deep Learning-based Measurement Matrix for Phase Retrieval
by: Liu, Jing, et al.
Published: (2025)
by: Liu, Jing, et al.
Published: (2025)
A Pontryagin Perspective on Reinforcement Learning
by: Eberhard, Onno, et al.
Published: (2024)
by: Eberhard, Onno, et al.
Published: (2024)
Foundations of Multivariate Distributional Reinforcement Learning
by: Wiltzer, Harley, et al.
Published: (2024)
by: Wiltzer, Harley, et al.
Published: (2024)
Operator World Models for Reinforcement Learning
by: Novelli, Pietro, et al.
Published: (2024)
by: Novelli, Pietro, et al.
Published: (2024)
Residuals-Based Contextual Distributionally Robust Optimization with Decision-Dependent Uncertainty: Theoretical Guarantees and Decomposition Algorithm
by: Zhu, Qing, et al.
Published: (2024)
by: Zhu, Qing, et al.
Published: (2024)
Residual subspace evolution strategies for nonlinear inverse problems
by: Alemanno, Francesco
Published: (2025)
by: Alemanno, Francesco
Published: (2025)
On the Foundation of Distributionally Robust Reinforcement Learning
by: Wang, Shengbo, et al.
Published: (2023)
by: Wang, Shengbo, et al.
Published: (2023)
Tail Distribution of Regret in Optimistic Reinforcement Learning
by: Khodadadian, Sajad, et al.
Published: (2025)
by: Khodadadian, Sajad, et al.
Published: (2025)
Reinforcement Learning applied to Insurance Portfolio Pursuit
by: Young, Edward James, et al.
Published: (2024)
by: Young, Edward James, et al.
Published: (2024)
Structured Reinforcement Learning for Combinatorial Decision-Making
by: Hoppe, Heiko, et al.
Published: (2025)
by: Hoppe, Heiko, et al.
Published: (2025)
Reinforcement Learning-based Control via Y-wise Affine Neural Networks: Comparative Case Studies for Chemical Processes
by: Braniff, Austin, et al.
Published: (2026)
by: Braniff, Austin, et al.
Published: (2026)
Reinforcement Learning with Function Approximation for Non-Markov Processes
by: Kara, Ali Devran
Published: (2026)
by: Kara, Ali Devran
Published: (2026)
Joint MDPs and Reinforcement Learning in Coupled-Dynamics Environments
by: Kaya, Ege C., et al.
Published: (2026)
by: Kaya, Ege C., et al.
Published: (2026)
Deep Reinforcement Learning: A Convex Optimization Approach
by: Gattami, Ather
Published: (2024)
by: Gattami, Ather
Published: (2024)
Similar Items
-
Online Residual Learning from Offline Experts for Pedestrian Tracking
by: Vlachos, Anastasios, et al.
Published: (2024) -
Offline Reinforcement Learning via Inverse Optimization
by: Dimanidis, Ioannis, et al.
Published: (2025) -
Offline-Online Reinforcement Learning for Linear Mixture MDPs
by: Zhang, Zhongjun, et al.
Published: (2026) -
Reward-Relevance-Filtered Linear Offline Reinforcement Learning
by: Zhou, Angela
Published: (2024) -
Offline Hierarchical Reinforcement Learning via Inverse Optimization
by: Schmidt, Carolin, et al.
Published: (2024)