Graph Neural Networks, Deep Reinforcement Learning and Probabilistic Topic Modeling for Strategic Multiagent Settings
Fuente:
arXiv
Saved in:
| Main Authors: | Chalkiadakis, Georgios, Akasiadis, Charilaos, Koresis, Gerasimos, Plataniotis, Stergios, Bakopoulos, Leonidas |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Value of Information-Enhanced Exploration in Bootstrapped DQN
by: Plataniotis, Stergios, et al.
Published: (2025)
by: Plataniotis, Stergios, et al.
Published: (2025)
On Altruism and Spite in Bimatrix Games
by: Fasoulakis, Michail, et al.
Published: (2025)
by: Fasoulakis, Michail, et al.
Published: (2025)
A Novel Framework for Uncertainty-Driven Adaptive Exploration
by: Bakopoulos, Leonidas, et al.
Published: (2025)
by: Bakopoulos, Leonidas, et al.
Published: (2025)
Autoencoder-based General Purpose Representation Learning for Customer Embedding
by: Bertrand, Jan Henrik, et al.
Published: (2024)
by: Bertrand, Jan Henrik, et al.
Published: (2024)
Deep Neural Network Based Accelerated Failure Time Models using Rank Loss
by: Kim, Gwangsu, et al.
Published: (2022)
by: Kim, Gwangsu, et al.
Published: (2022)
Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective
by: Lavrinovics, Ernests, et al.
Published: (2024)
by: Lavrinovics, Ernests, et al.
Published: (2024)
Seldonian Reinforcement Learning for Ad Hoc Teamwork
by: Zorzi, Edoardo, et al.
Published: (2025)
by: Zorzi, Edoardo, et al.
Published: (2025)
Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems
by: Greene, Michelle R., et al.
Published: (2024)
by: Greene, Michelle R., et al.
Published: (2024)
A Statistical-Modelling Approach to Feedforward Neural Network Model Selection
by: McInerney, Andrew, et al.
Published: (2022)
by: McInerney, Andrew, et al.
Published: (2022)
GLL: A Differentiable Graph Learning Layer for Neural Networks
by: Brown, Jason, et al.
Published: (2024)
by: Brown, Jason, et al.
Published: (2024)
Data-driven Detection and Evaluation of Damages in Concrete Structures: Using Deep Learning and Computer Vision
by: Ataei, Saeid, et al.
Published: (2025)
by: Ataei, Saeid, et al.
Published: (2025)
Machine Learning with a Reject Option: A survey
by: Hendrickx, Kilian, et al.
Published: (2021)
by: Hendrickx, Kilian, et al.
Published: (2021)
An Efficient Approach to Regression Problems with Tensor Neural Networks
by: Li, Yongxin, et al.
Published: (2024)
by: Li, Yongxin, et al.
Published: (2024)
Safe Continual Reinforcement Learning Methods for Nonstationary Environments. Towards a Survey of the State of the Art
by: Tomashevskiy, Timofey
Published: (2026)
by: Tomashevskiy, Timofey
Published: (2026)
BernGraph: Probabilistic Graph Neural Networks for EHR-based Medication Recommendations
by: Piao, Xihao, et al.
Published: (2024)
by: Piao, Xihao, et al.
Published: (2024)
Robust Fourier Neural Networks
by: Jeong, Halyun, et al.
Published: (2024)
by: Jeong, Halyun, et al.
Published: (2024)
Dealing with Inconsistency for Reasoning over Knowledge Graphs: A Survey
by: Nentidis, Anastasios, et al.
Published: (2025)
by: Nentidis, Anastasios, et al.
Published: (2025)
A Rapid Review of Clustering Algorithms
by: Yin, Hui, et al.
Published: (2024)
by: Yin, Hui, et al.
Published: (2024)
A Comprehensive Exploration of Personalized Learning in Smart Education: From Student Modeling to Personalized Recommendations
by: Wu, Siyu, et al.
Published: (2024)
by: Wu, Siyu, et al.
Published: (2024)
Memory-augmented Online Video Anomaly Detection
by: Rossi, Leonardo, et al.
Published: (2023)
by: Rossi, Leonardo, et al.
Published: (2023)
Conditional Max-Sum for Asynchronous Multiagent Decision Making
by: Troullinos, Dimitrios, et al.
Published: (2025)
by: Troullinos, Dimitrios, et al.
Published: (2025)
Imitation Learning in the Deep Learning Era: A Novel Taxonomy and Recent Advances
by: Chrysomallis, Iason, et al.
Published: (2025)
by: Chrysomallis, Iason, et al.
Published: (2025)
Recent Advances and Future Directions in Literature-Based Discovery
by: Kastrin, Andrej, et al.
Published: (2025)
by: Kastrin, Andrej, et al.
Published: (2025)
A Theoretical Computer Science Perspective on Free Will
by: Blum, Manuel, et al.
Published: (2022)
by: Blum, Manuel, et al.
Published: (2022)
A Special Case of Quadratic Extrapolation Under the Neural Tangent Kernel
by: Kim, Abiel
Published: (2025)
by: Kim, Abiel
Published: (2025)
Answer Set Networks: Casting Answer Set Programming into Deep Learning
by: Skryagin, Arseny, et al.
Published: (2024)
by: Skryagin, Arseny, et al.
Published: (2024)
Graph Neural Networks for Brain Graph Learning: A Survey
by: Luo, Xuexiong, et al.
Published: (2024)
by: Luo, Xuexiong, et al.
Published: (2024)
WTNN: Weibull-Tailored Neural Networks for survival analysis
by: Rives, Gabrielle, et al.
Published: (2025)
by: Rives, Gabrielle, et al.
Published: (2025)
Extendability of simplicial maps is undecidable
by: Skopenkov, A.
Published: (2020)
by: Skopenkov, A.
Published: (2020)
Large Language Model Meets Graph Neural Network in Knowledge Distillation
by: Hu, Shengxiang, et al.
Published: (2024)
by: Hu, Shengxiang, et al.
Published: (2024)
Self-supervised Learning for Electroencephalogram: A Systematic Survey
by: Weng, Weining, et al.
Published: (2024)
by: Weng, Weining, et al.
Published: (2024)
On sampling two spin models using the local connective constant
by: Efthymiou, Charilaos
Published: (2024)
by: Efthymiou, Charilaos
Published: (2024)
Dirichlet Scale Mixture Priors for Bayesian Neural Networks
by: Arnstad, August, et al.
Published: (2026)
by: Arnstad, August, et al.
Published: (2026)
Label Propagation Techniques for Artifact Detection in Imbalanced Classes using Photoplethysmogram Signals
by: Macabiau, Clara, et al.
Published: (2023)
by: Macabiau, Clara, et al.
Published: (2023)
Spectral Algorithms under Covariate Shift
by: Fan, Jun, et al.
Published: (2025)
by: Fan, Jun, et al.
Published: (2025)
Vision-based autonomous structural damage detection using data-driven methods
by: Ataei, Seyyed Taghi, et al.
Published: (2025)
by: Ataei, Seyyed Taghi, et al.
Published: (2025)
No Intelligence Without Statistics: The Invisible Backbone of Artificial Intelligence
by: Fokoué, Ernest
Published: (2025)
by: Fokoué, Ernest
Published: (2025)
On sampling symmetric Gibbs distributions on sparse random graphs and hypergraphs
by: Efthymiou, Charilaos
Published: (2020)
by: Efthymiou, Charilaos
Published: (2020)
Attention-based graph neural networks: a survey
by: Sun, Chengcheng, et al.
Published: (2026)
by: Sun, Chengcheng, et al.
Published: (2026)
A Systematic Evaluation Protocol of Graph-Derived Signals for Tabular Machine Learning
by: Heidrich, Mario, et al.
Published: (2026)
by: Heidrich, Mario, et al.
Published: (2026)
Similar Items
-
Value of Information-Enhanced Exploration in Bootstrapped DQN
by: Plataniotis, Stergios, et al.
Published: (2025) -
On Altruism and Spite in Bimatrix Games
by: Fasoulakis, Michail, et al.
Published: (2025) -
A Novel Framework for Uncertainty-Driven Adaptive Exploration
by: Bakopoulos, Leonidas, et al.
Published: (2025) -
Autoencoder-based General Purpose Representation Learning for Customer Embedding
by: Bertrand, Jan Henrik, et al.
Published: (2024) -
Deep Neural Network Based Accelerated Failure Time Models using Rank Loss
by: Kim, Gwangsu, et al.
Published: (2022)