Aligning Learning and Endogenous Decision-Making
Fuente:
arXiv
Saved in:
| Main Authors: | Cristian, Rares, Harsha, Pavithra, Perakis, Georgia, Quanz, Brian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach
by: Cristian, Rares, et al.
Published: (2025)
by: Cristian, Rares, et al.
Published: (2025)
CoRe: Coherency Regularization for Hierarchical Time Series
by: Cristian, Rares, et al.
Published: (2025)
by: Cristian, Rares, et al.
Published: (2025)
Inter-Series Transformer: Attending to Products in Time Series Forecasting
by: Cristian, Rares, et al.
Published: (2024)
by: Cristian, Rares, et al.
Published: (2024)
Deep Policy Iteration with Integer Programming for Inventory Management
by: Harsha, Pavithra, et al.
Published: (2021)
by: Harsha, Pavithra, et al.
Published: (2021)
Tight Mixed-Integer Optimization Formulations for Prescriptive Trees
by: Biggs, Max, et al.
Published: (2023)
by: Biggs, Max, et al.
Published: (2023)
Decomposition-Based Modular Conformal Prediction for Two-Stage Modeling
by: Zhang, William, et al.
Published: (2025)
by: Zhang, William, et al.
Published: (2025)
Leveraging Interpretability in the Transformer to Automate the Proactive Scaling of Cloud Resources
by: Ba, Amadou, et al.
Published: (2024)
by: Ba, Amadou, et al.
Published: (2024)
Heterogeneous Treatment Effects in Panel Data
by: Levi, Retsef, et al.
Published: (2024)
by: Levi, Retsef, et al.
Published: (2024)
Causal LLM Routing: End-to-End Regret Minimization from Observational Data
by: Tsiourvas, Asterios, et al.
Published: (2025)
by: Tsiourvas, Asterios, et al.
Published: (2025)
VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making
by: Grigsby, Jake, et al.
Published: (2025)
by: Grigsby, Jake, et al.
Published: (2025)
Human-Aligned Calibration for AI-Assisted Decision Making
by: Benz, Nina L. Corvelo, et al.
Published: (2023)
by: Benz, Nina L. Corvelo, et al.
Published: (2023)
Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making
by: Chen, Ruoyu, et al.
Published: (2026)
by: Chen, Ruoyu, et al.
Published: (2026)
Return-Aligned Decision Transformer
by: Tanaka, Tsunehiko, et al.
Published: (2024)
by: Tanaka, Tsunehiko, et al.
Published: (2024)
Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making
by: Wang, Prince Zizhuang, et al.
Published: (2025)
by: Wang, Prince Zizhuang, et al.
Published: (2025)
A Hybrid Machine Learning Framework for Optimizing Crop Selection via Agronomic and Economic Forecasting
by: Sindhur, Niranjan Mallikarjun, et al.
Published: (2025)
by: Sindhur, Niranjan Mallikarjun, et al.
Published: (2025)
NurseSchedRL: Attention-Guided Reinforcement Learning for Nurse-Patient Assignment
by: Koduri, Harsha
Published: (2025)
by: Koduri, Harsha
Published: (2025)
S$^3$-Attention:Attention-Aligned Endogenous Retrieval for Memory-Bounded Long-Context Inference
by: Ma, Qingsen, et al.
Published: (2026)
by: Ma, Qingsen, et al.
Published: (2026)
Learning Curves for Decision Making in Supervised Machine Learning: A Survey
by: Mohr, Felix, et al.
Published: (2022)
by: Mohr, Felix, et al.
Published: (2022)
Nonparametric estimation of conditional probability distributions using a generative approach based on conditional push-forward neural networks
by: Franco, Nicola Rares, et al.
Published: (2025)
by: Franco, Nicola Rares, et al.
Published: (2025)
Lasso and Partially-Rotated Designs
by: Buhai, Rares-Darius
Published: (2025)
by: Buhai, Rares-Darius
Published: (2025)
Structured Reinforcement Learning for Combinatorial Decision-Making
by: Hoppe, Heiko, et al.
Published: (2025)
by: Hoppe, Heiko, et al.
Published: (2025)
Learning Memory Mechanisms for Decision Making through Demonstrations
by: Yue, William, et al.
Published: (2024)
by: Yue, William, et al.
Published: (2024)
On the Need to Align Intent and Implementation in Uncertainty Quantification for Machine Learning
by: Trivedi, Shubhendu, et al.
Published: (2025)
by: Trivedi, Shubhendu, et al.
Published: (2025)
Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems
by: Saura, Marcos Negre, et al.
Published: (2024)
by: Saura, Marcos Negre, et al.
Published: (2024)
Oracle-Efficient Smoothed Online Learning for Piecewise Continuous Decision Making
by: Block, Adam, et al.
Published: (2023)
by: Block, Adam, et al.
Published: (2023)
Incorporating Cognitive Biases into Reinforcement Learning for Financial Decision-Making
by: He, Liu
Published: (2026)
by: He, Liu
Published: (2026)
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
by: Marton, Sascha, et al.
Published: (2023)
by: Marton, Sascha, et al.
Published: (2023)
Learning to Represent Individual Differences for Choice Decision Making
by: Chen, Yan-Ying, et al.
Published: (2025)
by: Chen, Yan-Ying, et al.
Published: (2025)
A Review of Causal Decision Making
by: Ge, Lin, et al.
Published: (2025)
by: Ge, Lin, et al.
Published: (2025)
Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression
by: Buhai, Rares-Darius, et al.
Published: (2024)
by: Buhai, Rares-Darius, et al.
Published: (2024)
Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes
by: Luo, Baiting, et al.
Published: (2024)
by: Luo, Baiting, et al.
Published: (2024)
A Survey of Classical And Quantum Sequence Models
by: Chen, I-Chi, et al.
Published: (2023)
by: Chen, I-Chi, et al.
Published: (2023)
Endogenous Regime Switching Driven by Scalar-Irreducible Learning Dynamics
by: Ran, Sheng
Published: (2026)
by: Ran, Sheng
Published: (2026)
Using Reinforcement Learning to Integrate Subjective Wellbeing into Climate Adaptation Decision Making
by: Vandervoort, Arthur, et al.
Published: (2025)
by: Vandervoort, Arthur, et al.
Published: (2025)
Visualizing Machine Learning Models for Enhanced Financial Decision-Making and Risk Management
by: Ganguly, Priyam, et al.
Published: (2025)
by: Ganguly, Priyam, et al.
Published: (2025)
MORAL: A Multimodal Reinforcement Learning Framework for Decision Making in Autonomous Laboratories
by: Tirabassi, Natalie, et al.
Published: (2025)
by: Tirabassi, Natalie, et al.
Published: (2025)
InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes under Herd Behavior
by: Wang, Huisheng, et al.
Published: (2025)
by: Wang, Huisheng, et al.
Published: (2025)
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning
by: Tan, Hengkai, et al.
Published: (2024)
by: Tan, Hengkai, et al.
Published: (2024)
Learning to Look: Seeking Information for Decision Making via Policy Factorization
by: Dass, Shivin, et al.
Published: (2024)
by: Dass, Shivin, et al.
Published: (2024)
Spiking Neural Models for Decision-Making Tasks with Learning
by: Jaffard, Sophie, et al.
Published: (2025)
by: Jaffard, Sophie, et al.
Published: (2025)
Similar Items
-
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach
by: Cristian, Rares, et al.
Published: (2025) -
CoRe: Coherency Regularization for Hierarchical Time Series
by: Cristian, Rares, et al.
Published: (2025) -
Inter-Series Transformer: Attending to Products in Time Series Forecasting
by: Cristian, Rares, et al.
Published: (2024) -
Deep Policy Iteration with Integer Programming for Inventory Management
by: Harsha, Pavithra, et al.
Published: (2021) -
Tight Mixed-Integer Optimization Formulations for Prescriptive Trees
by: Biggs, Max, et al.
Published: (2023)