Cover Image

Integration of Deep Reinforcement Learning and Agent-based Simulation to Explore Strategies Counteracting Information Disorder

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lomasto, Luigi, Camoia, Andrea, Guarino, Alfonso, Lettieri, Nicola, Malandrino, Delfina, Zaccagnino, Rocco
Format:	Preprint
Published:	2026
Subjects:	Social and Information Networks Artificial Intelligence Computers and Society 68T05, 91D30, 68Q32 I.2.6; I.6.5; J.4
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive Discretization in Online Reinforcement Learning
by: Sinclair, Sean R., et al.
Published: (2021)

Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
by: Xu, Zhi-Qin John, et al.
Published: (2019)

Backpropagation Through Time For Networks With Long-Term Dependencies
by: Bird, George, et al.
Published: (2021)

Aligning Inductive Bias for Data-Efficient Generalization in State Space Models
by: Chen, Qiyu, et al.
Published: (2025)

Ambiguous Online Learning
by: Kosoy, Vanessa
Published: (2025)

Regret Bounds for Robust Online Decision Making
by: Appel, Alexander, et al.
Published: (2025)

The Current and Future Perspectives of Zinc Oxide Nanoparticles in the Treatment of Diabetes Mellitus
by: Yousaf, Iqra
Published: (2024)

Reinforcement Learning in MDPs with Information-Ordered Policies
by: Zhang, Zhongjun, et al.
Published: (2025)

Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness
by: Chornomaz, Bogdan, et al.
Published: (2025)

Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification Tasks
by: Ahmadian, Rouhollah, et al.
Published: (2024)

Online Decision Making with Generative Action Sets
by: Xu, Jianyu, et al.
Published: (2025)

Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory
by: Zhang, Zhi, et al.
Published: (2024)

Margin in Abstract Spaces
by: Ashlagi, Yair, et al.
Published: (2026)

Sparse Knowledge Distillation: A Mathematical Framework for Probability-Domain Temperature Scaling and Multi-Stage Compression
by: Flouro, Aaron R., et al.
Published: (2026)

Retrieval-Augmented Memory for Online Learning
by: Du, Wenzhang
Published: (2025)

Tricks and Plug-ins for Gradient Boosting with Transformers
by: Fang, Biyi, et al.
Published: (2025)

Mitigating Catastrophic Forgetting in Streaming Generative and Predictive Learning via Stateful Replay
by: Du, Wenzhang
Published: (2025)

Golden Handcuffs make safer AI agents
by: Ebtekar, Aram, et al.
Published: (2026)

Reinforcement Learning for Reachability: Guaranteeing Asymptotic Optimality
by: Palasamudram, Amogh, et al.
Published: (2026)

Understanding the Nature of Generative AI as Threshold Logic in High-Dimensional Space
by: Levin, Ilya
Published: (2026)

Understanding the Uncertainty of LLM Explanations: A Perspective Based on Reasoning Topology
by: Da, Longchao, et al.
Published: (2025)

Position: Uncertainty Quantification in LLMs is Just Unsupervised Clustering
by: Chen, Tiejin, et al.
Published: (2026)

Think Thrice Before You Speak: Dual knowledge-enhanced Theory-of-Mind Reasoning for Persuasive Agents
by: Ma, Minghui, et al.
Published: (2026)

ZetA: A Riemann Zeta-Scaled Extension of Adam for Deep Learning
by: BC, Samiksha
Published: (2025)

Theoretical Analysis of Positional Encodings in Transformer Models: Impact on Expressiveness and Generalization
by: Li, Yin
Published: (2025)

Optimistic Feasible Search for Closed-Loop Fair Threshold Decision-Making
by: Du, Wenzhang
Published: (2025)

MMD-Balls as Credal Sets: A PAC-Bayesian Framework for Epistemic Uncertainty in Test-Time Adaptation
by: Ariq, Ahanaf Hasan
Published: (2026)

Inductive Venn-Abers and related regressors
by: Petej, Ivan, et al.
Published: (2026)

Aggregation in conformal e-classification
by: Vovk, Vladimir
Published: (2026)

Adversarial Learning in Games with Bandit Feedback: Logarithmic Pure-Strategy Maximin Regret
by: Ito, Shinji, et al.
Published: (2026)

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation
by: Gharami, Kanchon, et al.
Published: (2025)

An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool
by: Lomasto, Luigi, et al.
Published: (2026)

Advances in Set Function Learning: A Survey of Techniques and Applications
by: Xie, Jiahao, et al.
Published: (2025)

The two clocks and the innovation window: When and how generative models learn rules
by: Wang, Binxu, et al.
Published: (2026)

Energy-Efficient Information Representation in MNIST Classification Using Biologically Inspired Learning
by: Stricker, Patrick, et al.
Published: (2026)

Diagnosing Multi-step Reasoning Failures in Black-box LLMs via Stepwise Confidence Attribution
by: Liu, Xiaoou, et al.
Published: (2026)

On the Equivalence of Regression and Classification
by: Jayadeva, et al.
Published: (2025)

InhibiDistilbert: Knowledge Distillation for a ReLU and Addition-based Transformer
by: Zhang, Tony, et al.
Published: (2025)

Modularity in Transformers: Investigating Neuron Separability & Specialization
by: Pochinkov, Nicholas, et al.
Published: (2024)

Adaptive Mixture Importance Sampling for Automated Ads Auction Tuning
by: Jia, Yimeng, et al.
Published: (2024)