Cover Image

Efficient Algorithms for Mitigating Uncertainty and Risk in Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Su, Xihong
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

Risk-Averse Total-Reward Reinforcement Learning
by: Su, Xihong, et al.
Published: (2025)

Risk-averse Total-reward MDPs with ERM and EVaR
by: Su, Xihong, et al.
Published: (2024)

Solving Multi-Model MDPs by Coordinate Ascent and Dynamic Programming
by: Su, Xihong, et al.
Published: (2024)

Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement Learning
by: Bui, Ha Manh, et al.
Published: (2026)

RAPID: An Efficient Reinforcement Learning Algorithm for Small Language Models
by: Huang, Lianghuan, et al.
Published: (2025)

Learning with Shared Representations: Statistical Rates and Efficient Algorithms
by: Niu, Xiaochun, et al.
Published: (2024)

Sample Efficient Active Algorithms for Offline Reinforcement Learning
by: Roy, Soumyadeep, et al.
Published: (2026)

UAMDP: Uncertainty-Aware Markov Decision Process for Risk-Constrained Reinforcement Learning from Probabilistic Forecasts
by: Koren, Michal, et al.
Published: (2025)

Bounded Exploration with World Model Uncertainty in Soft Actor-Critic Reinforcement Learning Algorithm
by: Qiao, Ting, et al.
Published: (2024)

Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning
by: Li, Na, et al.
Published: (2025)

Provably Efficient Partially Observable Risk-Sensitive Reinforcement Learning with Hindsight Observation
by: Zhang, Tonghe, et al.
Published: (2024)

UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection
by: Zhao, Yang, et al.
Published: (2025)

Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty
by: Shi, Laixi, et al.
Published: (2024)

Leveraging Genetic Algorithms for Efficient Demonstration Generation in Real-World Reinforcement Learning Environments
by: Maus, Tom, et al.
Published: (2025)

Efficient Exploration in Deep Reinforcement Learning: A Novel Bayesian Actor-Critic Algorithm
by: Rozanov, Nikolai
Published: (2024)

RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning
by: Zhao, Yujie, et al.
Published: (2024)

EUBRL: Epistemic Uncertainty Directed Bayesian Reinforcement Learning
by: Ma, Jianfei, et al.
Published: (2025)

Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals
by: Wang, Vivienne Huiling, et al.
Published: (2025)

Privacy Risks Analysis and Mitigation in Federated Learning for Medical Images
by: Das, Badhan Chandra, et al.
Published: (2023)

Unequal Uncertainty: Rethinking Algorithmic Interventions for Mitigating Discrimination from AI
by: Sargeant, Holli, et al.
Published: (2025)

Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk
by: Ying, Chengyang, et al.
Published: (2022)

Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning
by: Liu, Zhishuai, et al.
Published: (2024)

Sequential Design of Genetic Circuits Under Uncertainty With Reinforcement Learning
by: Kobiela, Michal, et al.
Published: (2026)

TGRL: An Algorithm for Teacher Guided Reinforcement Learning
by: Shenfeld, Idan, et al.
Published: (2023)

From Risk to Resilience: Towards Assessing and Mitigating the Risk of Data Reconstruction Attacks in Federated Learning
by: Xu, Xiangrui, et al.
Published: (2025)

Ancestral Reinforcement Learning: Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement Learning
by: Nakashima, So, et al.
Published: (2024)

FineFT: Efficient and Risk-Aware Ensemble Reinforcement Learning for Futures Trading
by: Qin, Molei, et al.
Published: (2025)

Online Bayesian Risk-Averse Reinforcement Learning
by: Wang, Yuhao, et al.
Published: (2025)

Is Risk-Sensitive Reinforcement Learning Properly Resolved?
by: Zhou, Ruiwen, et al.
Published: (2023)

Decoupling Time and Risk: Risk-Sensitive Reinforcement Learning with General Discounting
by: Moghimi, Mehrdad, et al.
Published: (2026)

Counterfactual Reward Model Training for Bias Mitigation in Multimodal Reinforcement Learning
by: Mathew, Sheryl, et al.
Published: (2025)

A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk Minimization
by: Wei, Xiyuan, et al.
Published: (2026)

Harnessing Synthetic Data from Generative AI for Statistical Inference
by: Abdel-Azim, Ahmad, et al.
Published: (2026)

Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models
by: Shoaeinaeini, Maryam, et al.
Published: (2024)

Distributional Reinforcement Learning with Information Bottleneck for Uncertainty-Aware DRAM Equalization
by: Usama, Muhammad, et al.
Published: (2026)

Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
by: Akgül, Abdullah, et al.
Published: (2024)

Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness
by: Wen, Xiaoyu, et al.
Published: (2023)

Algorithm and Hardware Co-Design for Efficient Complex-Valued Uncertainty Estimation
by: Zhang, Zehuan, et al.
Published: (2026)

Learning to Reason Efficiently with Discounted Reinforcement Learning
by: Ayoub, Alex, et al.
Published: (2025)

Interpreting and Mitigating Unwanted Uncertainty in LLMs
by: Roy, Tiasa Singha, et al.
Published: (2025)