Imagen de Portada

Personalizing Exposure Therapy via Reinforcement Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Mahmoudi-Nejad, Athar, Guzdial, Matthew, Boulanger, Pierre
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Spiders Based on Anxiety: How Reinforcement Learning Can Deliver Desired User Experience in Virtual Reality Personalized Arachnophobia Treatment
por: Mahmoudi-Nejad, Athar, et al.
Publicado: (2024)

Stress Detection from Photoplethysmography in a Virtual Reality Environment
por: Mahmoudi-Nejad, Athar, et al.
Publicado: (2024)

Label-Free Subjective Player Experience Modelling via Let's Play Videos
por: Goel, Dave, et al.
Publicado: (2024)

A Framework for Predicting the Impact of Game Balance Changes through Meta Discovery
por: Saravanan, Akash, et al.
Publicado: (2024)

Generalizable Diabetes Risk Stratification via Hybrid Machine Learning Models
por: Parvez, Athar, et al.
Publicado: (2025)

Introducing Feature-Based Trajectory Clustering, a clustering algorithm for longitudinal data
por: Sylvestre, Marie-Pierre, et al.
Publicado: (2026)

A Systematic Approach to Design Real-World Human-in-the-Loop Deep Reinforcement Learning: Salient Features, Challenges and Trade-offs
por: Arabneydi, Jalal, et al.
Publicado: (2025)

Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards
por: Cheng, Yuwei, et al.
Publicado: (2025)

Learning to Control Camera Exposure via Reinforcement Learning
por: Lee, Kyunghyun, et al.
Publicado: (2024)

Personalized Reinforcement Learning with a Budget of Policies
por: Ivanov, Dmitry, et al.
Publicado: (2024)

Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization
por: Mahmoudi, Afsaneh, et al.
Publicado: (2024)

Robust Machine Learning Framework for Reliable Discovery of High-Performance Half-Heusler Thermoelectrics
por: Athar, Shoeb, et al.
Publicado: (2026)

Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning
por: Chen, Xi, et al.
Publicado: (2025)

Predicting Diabetic Retinopathy Using a Two-Level Ensemble Model
por: Mahmoudi, Mahyar, et al.
Publicado: (2025)

Viability of Future Actions: Robust Safety in Reinforcement Learning via Entropy Regularization
por: Massiani, Pierre-François, et al.
Publicado: (2025)

GRADE: Personalized Multi-Task Fusion via Group-relative Reinforcement Learning with Adaptive Dirichlet Exploration
por: Hong, Tingfeng, et al.
Publicado: (2025)

Individualized Federated Learning for Traffic Prediction with Error Driven Aggregation
por: Chen, Hang, et al.
Publicado: (2024)

Personalized Path Recourse for Reinforcement Learning Agents
por: Hong, Dat, et al.
Publicado: (2023)

Inverse Reinforcement Learning for Minimum-Exposure Paths in Spatiotemporally Varying Scalar Fields
por: Ballentine, Alexandra E., et al.
Publicado: (2025)

Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks
por: Mahmoudi, Afsaneh, et al.
Publicado: (2024)

Generating Auxiliary Tasks with Reinforcement Learning
por: Goldfeder, Judah, et al.
Publicado: (2025)

Learning Personalized Driving Styles via Reinforcement Learning from Human Feedback
por: Li, Derun, et al.
Publicado: (2025)

RRLS : Robust Reinforcement Learning Suite
por: Zouitine, Adil, et al.
Publicado: (2024)

Discrete Compositional Generation via General Soft Operators and Robust Reinforcement Learning
por: Jiralerspong, Marco, et al.
Publicado: (2025)

Online Episodic Convex Reinforcement Learning
por: Moreno, Bianca Marin, et al.
Publicado: (2025)

Personalized Clustering via Targeted Representation Learning
por: Geng, Xiwen, et al.
Publicado: (2024)

Towards Minimax Optimality of Model-based Robust Reinforcement Learning
por: Clavier, Pierre, et al.
Publicado: (2023)

Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasks
por: Sachweh, Timon, et al.
Publicado: (2024)

MARS: Magnitude-Aware Rank Statistics
por: Rajabinasab, Muhammad, et al.
Publicado: (2026)

Accelerating Reinforcement Learning for Wind Farm Control via Expert Demonstrations
por: Nilsen, Marcus Binder, et al.
Publicado: (2026)

On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
por: Xiong, Guojun, et al.
Publicado: (2024)

On the Importance of Multistability for Horizon Generalization in Reinforcement Learning
por: Bakija, Asad, et al.
Publicado: (2026)

Vulnerability Analysis of Safe Reinforcement Learning via Inverse Constrained Reinforcement Learning
por: Fan, Jialiang, et al.
Publicado: (2026)

Swap-guided Preference Learning for Personalized Reinforcement Learning from Human Feedback
por: Kim, Gihoon, et al.
Publicado: (2026)

What Makes Value Learning Efficient in Residual Reinforcement Learning?
por: Ma, Guozheng, et al.
Publicado: (2026)

Personalized Federated Learning via Gaussian Generative Modeling
por: Hu, Peng, et al.
Publicado: (2026)

Heterogeneous Federated Learning via Personalized Generative Networks
por: Taghiyarrenani, Zahra, et al.
Publicado: (2023)

Bootstrapping Expectiles in Reinforcement Learning
por: Clavier, Pierre, et al.
Publicado: (2024)

Pokemon Red via Reinforcement Learning
por: Pleines, Marco, et al.
Publicado: (2025)

Lifelong Reinforcement Learning via Neuromodulation
por: Lee, Sebastian, et al.
Publicado: (2024)