Cover Image

Thresholded Lexicographic Ordered Multiobjective Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tercan, Alperen, Prabhu, Vinayak S.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LPPG-RL: Lexicographically Projected Policy Gradient Reinforcement Learning with Subproblem Exploration
by: Qiu, Ruiyu, et al.
Published: (2025)

schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments
by: de Puiseau, Constantin Waubert, et al.
Published: (2023)

Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling
by: de Puiseau, Constantin Waubert, et al.
Published: (2024)

Efficient Reward Identification In Max Entropy Reinforcement Learning with Sparsity and Rank Priors
by: Shehab, Mohamad Louai, et al.
Published: (2025)

Promises and Pitfalls of Threshold-based Auto-labeling
by: Vishwakarma, Harit, et al.
Published: (2022)

Adaptive Scoring and Thresholding with Human Feedback for Robust Out-of-Distribution Detection
by: Yamada, Daisuke, et al.
Published: (2025)

Learning to Correct: Calibrated Reinforcement Learning for Multi-Attempt Chain-of-Thought
by: Ildiz, Muhammed Emrullah, et al.
Published: (2026)

Initial Distribution Sensitivity of Constrained Markov Decision Processes
by: Tercan, Alperen, et al.
Published: (2025)

LacaDM: A Latent Causal Diffusion Model for Multiobjective Reinforcement Learning
by: Yan, Xueming, et al.
Published: (2025)

Multiobjective Hydropower Reservoir Operation Optimization with Transformer-Based Deep Reinforcement Learning
by: Wu, Rixin, et al.
Published: (2023)

Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs
by: Shakerinava, Mehran, et al.
Published: (2025)

Fairness-aware Multiobjective Evolutionary Learning
by: Zhang, Qingquan, et al.
Published: (2024)

Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits
by: Xue, Bo, et al.
Published: (2025)

Learning Hidden Subgoals under Temporal Ordering Constraints in Reinforcement Learning
by: Xu, Duo, et al.
Published: (2024)

Lexicographic optimization-based approaches to learning a representative model for multi-criteria sorting with non-monotonic criteria
by: Zhang, Zhen, et al.
Published: (2024)

Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem
by: de Puiseau, Constantin Waubert, et al.
Published: (2024)

Causal Ordering for Structure Learning from Time Series
by: Sanchez, Pedro P., et al.
Published: (2025)

Metric Learning in an RKHS
by: Tatli, Gokcan, et al.
Published: (2025)

Learning Structural Causal Models from Ordering: Identifiable Flow Models
by: Le, Minh Khoa, et al.
Published: (2024)

Taming False Positives in Out-of-Distribution Detection with Human Feedback
by: Vishwakarma, Harit, et al.
Published: (2024)

Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All You Need
by: Wistuba, Martin, et al.
Published: (2024)

Latency and Ordering Effects in Online Decisions
by: Yi, Duo
Published: (2025)

TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering
by: Habib, Al Zadid Sultan Bin, et al.
Published: (2024)

Out of Distribution Detection for Efficient Continual Learning in Quality Prediction for Arc Welding
by: Hahn, Yannik, et al.
Published: (2025)

Beyond Synthetic Augmentation: Group-Aware Threshold Calibration for Robust Balanced Accuracy in Imbalanced Learning
by: Gittlin, Hunter
Published: (2025)

Noise-aware Client Selection for carbon-efficient Federated Learning via Gradient Norm Thresholding
by: Wilhelm, Patrick, et al.
Published: (2026)

OAT: Ordered Action Tokenization
by: Liu, Chaoqi, et al.
Published: (2026)

Learning to Optimize for Reinforcement Learning
by: Lan, Qingfeng, et al.
Published: (2023)

Reinforcement Learning: An Overview
by: Murphy, Kevin
Published: (2024)

Introduction to Reinforcement Learning
by: Ghasemi, Majid, et al.
Published: (2024)

Highway Reinforcement Learning
by: Wang, Yuhui, et al.
Published: (2024)

Is there Value in Reinforcement Learning?
by: Fox, Lior, et al.
Published: (2025)

Experiential Reinforcement Learning
by: Shi, Taiwei, et al.
Published: (2026)

Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning
by: Xie, Sean, et al.
Published: (2022)

A Systematic Study of Compression Ordering for Large Language Models
by: Chhawri, Shivansh, et al.
Published: (2025)

Ordering-based Causal Discovery via Generalized Score Matching
by: Vo, Vy, et al.
Published: (2026)

Rethinking the Rank Threshold for LoRA Fine-Tuning
by: Park, Juneyoung
Published: (2026)

Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective
by: Zhao, Lei, et al.
Published: (2023)

Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning
by: Rietz, Finn, et al.
Published: (2023)

State-free Reinforcement Learning
by: Chen, Mingyu, et al.
Published: (2024)