Saved in:
| Main Author: | Pape, Nicholas A. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.00007 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Causal Reinforcement Learning for Complex Card Games: A Magic The Gathering Benchmark
by: Cunha, Cristiano da Costa, et al.
Published: (2026)
by: Cunha, Cristiano da Costa, et al.
Published: (2026)
Optimizing Fantasy Sports Team Selection with Deep Reinforcement Learning
by: Bhattacharjee, Shamik, et al.
Published: (2024)
by: Bhattacharjee, Shamik, et al.
Published: (2024)
Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance
by: Silue, Bram, et al.
Published: (2025)
by: Silue, Bram, et al.
Published: (2025)
Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning
by: Jiang, Zeyu, et al.
Published: (2025)
by: Jiang, Zeyu, et al.
Published: (2025)
FedSWA: Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging
by: junkang, Liu, et al.
Published: (2025)
by: junkang, Liu, et al.
Published: (2025)
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
by: Pippas, Nikolaos, et al.
Published: (2024)
by: Pippas, Nikolaos, et al.
Published: (2024)
An improved tabular data generator with VAE-GMM integration
by: Apellániz, Patricia A., et al.
Published: (2024)
by: Apellániz, Patricia A., et al.
Published: (2024)
IFRA: a machine learning-based Instrumented Fall Risk Assessment Scale derived from Instrumented Timed Up and Go test in stroke patients
by: Macciò, Simone, et al.
Published: (2025)
by: Macciò, Simone, et al.
Published: (2025)
BenchECG and xECG: a benchmark and baseline for ECG foundation models
by: Lunelli, Riccardo, et al.
Published: (2025)
by: Lunelli, Riccardo, et al.
Published: (2025)
Generalization Beyond Benchmarks: Evaluating Learnable Protein-Ligand Scoring Functions on Unseen Targets
by: Kopko, Jakub, et al.
Published: (2025)
by: Kopko, Jakub, et al.
Published: (2025)
Automated ultrasound doppler angle estimation using deep learning
by: Patil, Nilesh, et al.
Published: (2025)
by: Patil, Nilesh, et al.
Published: (2025)
Explainable Prediction of the Mechanical Properties of Composites with CNNs
by: Raaghav, Varun, et al.
Published: (2025)
by: Raaghav, Varun, et al.
Published: (2025)
Conditional Generative Framework with Peak-Aware Attention for Robust Chemical Detection under Interferences
by: Yoon, Namkyung, et al.
Published: (2026)
by: Yoon, Namkyung, et al.
Published: (2026)
CEDAR: Context Engineering for Agentic Data Science
by: Roy, Rishiraj Saha, et al.
Published: (2026)
by: Roy, Rishiraj Saha, et al.
Published: (2026)
LEAP: Trajectory-Level Evaluation of LLMs in Iterative Scientific Design
by: Zhang, Marilyn, et al.
Published: (2026)
by: Zhang, Marilyn, et al.
Published: (2026)
Towards an educational tool for supporting neonatologists in the delivery room
by: Leonardi, Giorgio, et al.
Published: (2024)
by: Leonardi, Giorgio, et al.
Published: (2024)
A Hybrid Feature Selection and Construction Method for Detection of Wind Turbine Generator Heating Faults
by: Kavaz, Ayse Gokcen, et al.
Published: (2023)
by: Kavaz, Ayse Gokcen, et al.
Published: (2023)
Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems
by: Windmann, Alexander, et al.
Published: (2024)
by: Windmann, Alexander, et al.
Published: (2024)
NEXUS: A compact neural architecture for high-resolution spatiotemporal air quality forecasting in Delhi National Capital Region
by: Kumar, Rampunit, et al.
Published: (2026)
by: Kumar, Rampunit, et al.
Published: (2026)
Analysis and Mortality Prediction using Multiclass Classification for Older Adults with Type 2 Diabetes
by: Desure, Ruchika, et al.
Published: (2024)
by: Desure, Ruchika, et al.
Published: (2024)
Contrastive Domain Generalization for Cross-Instrument Molecular Identification in Mass Spectrometry
by: Yoo, Seunghyun, et al.
Published: (2026)
by: Yoo, Seunghyun, et al.
Published: (2026)
SOMtime the World Ain$'$t Fair: Violating Fairness Using Self-Organizing Maps
by: Bingham, Joseph, et al.
Published: (2026)
by: Bingham, Joseph, et al.
Published: (2026)
Automating the Deep Space Network Data Systems; A Case Study in Adaptive Anomaly Detection through Agentic AI
by: Chou, Evan J., et al.
Published: (2025)
by: Chou, Evan J., et al.
Published: (2025)
Model Fusion via Retrofitting
by: Luenam, Phoomraphee, et al.
Published: (2025)
by: Luenam, Phoomraphee, et al.
Published: (2025)
STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System Forecasting
by: Shao, Zhiqi, et al.
Published: (2024)
by: Shao, Zhiqi, et al.
Published: (2024)
Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control
by: de Mol, Barbera, et al.
Published: (2025)
by: de Mol, Barbera, et al.
Published: (2025)
Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States
by: Hashtarkhani, Soheil, et al.
Published: (2025)
by: Hashtarkhani, Soheil, et al.
Published: (2025)
A Novel Loss Function for Deep Learning Based Daily Stock Trading System
by: Guo, Ruoyu, et al.
Published: (2025)
by: Guo, Ruoyu, et al.
Published: (2025)
Improved Performances and Motivation in Intelligent Tutoring Systems: Combining Machine Learning and Learner Choice
by: Clément, Benjamin, et al.
Published: (2024)
by: Clément, Benjamin, et al.
Published: (2024)
Lossless Prompt Compression via Dictionary-Encoding and In-Context Learning: Enabling Cost-Effective LLM Analysis of Repetitive Data
by: de Campos, Andresa Rodrigues, et al.
Published: (2026)
by: de Campos, Andresa Rodrigues, et al.
Published: (2026)
Interactive Diabetes Risk Prediction Using Explainable Machine Learning: A Dash-Based Approach with SHAP, LIME, and Comorbidity Insights
by: Allani, Udaya
Published: (2025)
by: Allani, Udaya
Published: (2025)
Navigating WebAI: Training Agents to Complete Web Tasks with Large Language Models and Reinforcement Learning
by: Thil, Lucas-Andreï, et al.
Published: (2024)
by: Thil, Lucas-Andreï, et al.
Published: (2024)
Intelligent Data-Driven Architectural Features Orchestration for Network Slicing
by: Moreira, Rodrigo, et al.
Published: (2024)
by: Moreira, Rodrigo, et al.
Published: (2024)
Bayesian Nonparametric Dynamical Clustering of Time Series
by: Pérez-Herrero, Adrián, et al.
Published: (2025)
by: Pérez-Herrero, Adrián, et al.
Published: (2025)
NFCL: Simply interpretable neural networks for a short-term multivariate forecasting
by: Jo, Wonkeun, et al.
Published: (2024)
by: Jo, Wonkeun, et al.
Published: (2024)
Exploring Multi-Agent Reinforcement Learning for Unrelated Parallel Machine Scheduling
by: Zampella, Maria, et al.
Published: (2024)
by: Zampella, Maria, et al.
Published: (2024)
Communications to Circulations: Real-Time 3D Wind Field Prediction Using 5G GNSS Signals and Deep Learning
by: Ye, Yuchen, et al.
Published: (2025)
by: Ye, Yuchen, et al.
Published: (2025)
Developing the Reliable Shallow Supervised Learning for Thermal Comfort using ASHRAE RP-884 and ASHRAE Global Thermal Comfort Database II
by: Karyono, Kanisius, et al.
Published: (2023)
by: Karyono, Kanisius, et al.
Published: (2023)
Learning Approximate Nash Equilibria in Cooperative Multi-Agent Reinforcement Learning via Mean-Field Subsampling
by: Anand, Emile, et al.
Published: (2026)
by: Anand, Emile, et al.
Published: (2026)
Dense Neural Network Based Arrhythmia Classification on Low-cost and Low-compute Micro-controller
by: Zishan, Md Abu Obaida, et al.
Published: (2025)
by: Zishan, Md Abu Obaida, et al.
Published: (2025)
Similar Items
-
Causal Reinforcement Learning for Complex Card Games: A Magic The Gathering Benchmark
by: Cunha, Cristiano da Costa, et al.
Published: (2026) -
Optimizing Fantasy Sports Team Selection with Deep Reinforcement Learning
by: Bhattacharjee, Shamik, et al.
Published: (2024) -
Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance
by: Silue, Bram, et al.
Published: (2025) -
Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning
by: Jiang, Zeyu, et al.
Published: (2025) -
FedSWA: Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging
by: junkang, Liu, et al.
Published: (2025)