Cover Image

Time-Constrained Robust MDPs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zouitine, Adil, Bertoin, David, Clavier, Pierre, Geist, Matthieu, Rachelson, Emmanuel
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RRLS : Robust Reinforcement Learning Suite
by: Zouitine, Adil, et al.
Published: (2024)

Solving robust MDPs as a sequence of static RL problems
by: Zouitine, Adil, et al.
Published: (2024)

Bootstrapping Expectiles in Reinforcement Learning
by: Clavier, Pierre, et al.
Published: (2024)

Towards Minimax Optimality of Model-based Robust Reinforcement Learning
by: Clavier, Pierre, et al.
Published: (2023)

The Overfocusing Bias of Convolutional Neural Networks: A Saliency-Guided Regularization Approach
by: Bertoin, David, et al.
Published: (2024)

Robot Learning: A Tutorial
by: Capuano, Francesco, et al.
Published: (2025)

Learning to Handle Parameter Perturbations in Combinatorial Optimization: an Application to Facility Location
by: Lodi, Andrea, et al.
Published: (2019)

Robust Parameter Learning for Uncertain MDPs
by: Schnitzer, Yannik, et al.
Published: (2026)

Primal-Only Actor Critic Algorithm for Robust Constrained Average Cost MDPs
by: Satheesh, Anirudh, et al.
Published: (2025)

Truly No-Regret Learning in Constrained MDPs
by: Müller, Adrian, et al.
Published: (2024)

Periodic agent-state based Q-learning for POMDPs
by: Sinha, Amit, et al.
Published: (2024)

Convergence of regularized agent-state-based Q-learning in POMDPs
by: Sinha, Amit, et al.
Published: (2025)

ShiQ: Bringing back Bellman to LLMs
by: Clavier, Pierre, et al.
Published: (2025)

VITS : Variational Inference Thompson Sampling for contextual bandits
by: Clavier, Pierre, et al.
Published: (2023)

Self-Improving Robust Preference Optimization
by: Choi, Eugene, et al.
Published: (2024)

Near-Optimal Sample Complexity for Online Constrained MDPs
by: Liu, Chang, et al.
Published: (2026)

Efficient Solution and Learning of Robust Factored MDPs
by: Schnitzer, Yannik, et al.
Published: (2025)

Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees
by: Ganguly, Sourav, et al.
Published: (2025)

Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View
by: Ghugare, Raj, et al.
Published: (2024)

Augmented Lagrangian Method for Last-Iterate Convergence for Constrained MDPs
by: Lu, Michael, et al.
Published: (2026)

Solving Robust MDPs through No-Regret Dynamics
by: Guha, Etash Kumar
Published: (2023)

Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization
by: Stradi, Francesco Emanuele, et al.
Published: (2024)

Sample Complexity Bounds for Linear Constrained MDPs with a Generative Model
by: Liu, Xingtu, et al.
Published: (2025)

Near-Optimal Sample Complexity Bounds for Constrained Average-Reward MDPs
by: Wei, Yukuan, et al.
Published: (2025)

Regret Analysis of Unichain Average Reward Constrained MDPs with General Parameterization
by: Satheesh, Anirudh, et al.
Published: (2026)

Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity
by: Zhang, Runyu, et al.
Published: (2023)

Policy Gradient in Robust MDPs with Global Convergence Guarantee
by: Wang, Qiuhao, et al.
Published: (2022)

Last-Iterate Convergence of General Parameterized Policies in Constrained MDPs
by: Mondal, Washim Uddin, et al.
Published: (2024)

Strictly Constrained Generative Modeling via Split Augmented Langevin Sampling
by: Blanke, Matthieu, et al.
Published: (2025)

A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs
by: Hong, Kihyuk, et al.
Published: (2024)

A Best-of-Both-Worlds Algorithm for Constrained MDPs with Long-Term Constraints
by: Germano, Jacopo, et al.
Published: (2023)

The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
by: Shi, Laixi, et al.
Published: (2023)

A Markov Decision Process for Variable Selection in Branch & Bound
by: Strang, Paul, et al.
Published: (2025)

Influence branching for learning to solve mixed-integer programs online
by: Strang, Paul, et al.
Published: (2025)

Planning in Branch-and-Bound: Model-Based Reinforcement Learning for Exact Combinatorial Optimization
by: Strang, Paul, et al.
Published: (2025)

Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning
by: Freihaut, Till, et al.
Published: (2025)

A Policy Gradient Primal-Dual Algorithm for Constrained MDPs with Uniform PAC Guarantees
by: Kitamura, Toshinori, et al.
Published: (2024)

Confident Natural Policy Gradient for Local Planning in $q_π$-realizable Constrained MDPs
by: Tian, Tian, et al.
Published: (2024)

Global Convergence of Average Reward Constrained MDPs with Neural Critic and General Policy Parameterization
by: Satheesh, Anirudh, et al.
Published: (2026)

Ensuring Safety in an Uncertain Environment: Constrained MDPs via Stochastic Thresholds
by: Zuo, Qian, et al.
Published: (2025)