Issue 23/2023
Special Issue on Human-aligned reinforcement learning for autonomous agents and robots (pp.16689-16943)/ Regular papers (pp.16945-17441)
Content (43 Articles)
Human-aligned reinforcement learning for autonomous agents and robots
Francisco Cruz, Thommen George Karimpanal, Miguel A. Solis, Pablo Barros, Richard Dazeley
Hierarchical goals contextualize local reward decomposition explanations
Finn Rietz, Sven Magg, Fredrik Heintz, Todor Stoyanov, Stefan Wermter, Johannes A. Stork
A Huber reward function-driven deep reinforcement learning solution for cart-pole balancing problem
Shaili Mishra, Anuja Arora
Proxemic behavior in navigation tasks using reinforcement learning
Cristian Millán-Arias, Bruno Fernandes, Francisco Cruz
Incorporating rivalry in reinforcement learning for a competitive game
Pablo Barros, Özge Nilay Yalçın, Ana Tanevska, Alessandra Sciutti
Collaborative training of heterogeneous reinforcement learning agents in environments with sparse rewards: what and when to share?
Alain Andres, Esther Villar-Rodriguez, Javier Del Ser
Policy regularization for legible behavior
Michele Persiani, Thomas Hellström
Example-guided learning of stochastic human driving policies using deep reinforcement learning
Ran Emuna, Rotem Duffney, Avinoam Borowsky, Armin Biess
Communicative capital: a key resource for human–machine shared agency and collaborative capacity
Kory W. Mathewson, Adam S. R. Parker, Craig Sherstan, Ann L. Edwards, Richard S. Sutton, Patrick M. Pilarski
Knowledge- and ambiguity-aware robot learning from corrective and evaluative feedback
Carlos Celemin, Jens Kober
Hu-bot: promoting the cooperation between humans and mobile robots
Karine Miras, Decebal Mocanu, A. E. Eiben
Q-learning as a model of utilitarianism in a human–machine team
Samantha Krening
Who should I trust? Cautiously learning with unreliable experts
Tamlin Love, Ritesh Ajoodha, Benjamin Rosman
RePReL: a unified framework for integrating relational planning and reinforcement learning for effective abstraction in discrete and continuous domains
Harsha Kokel, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli
Explainable reinforcement learning for broad-XAI: a conceptual framework and survey
Richard Dazeley, Peter Vamplew, Francisco Cruz
AI apology: interactive multi-objective reinforcement learning for human-aligned AI
Hadassah Harland, Richard Dazeley, Bahareh Nakisa, Francisco Cruz, Peter Vamplew
Quantifying the effect of feedback frequency in interactive reinforcement learning for robotic tasks
Daniel Harnack, Julie Pivin-Bachler, Nicolás Navarro-Guerrero
A survey on deep learning models for detection of COVID-19
Javad Mozaffari, Abdollah Amirkhani, Shahriar B. Shokouhi
MMNet: a medical image-to-image translation network based on manifold-value correction and manifold matching
Xianhua Zeng, Biao Li, Xinyu Wang
An intelligent identification and classification system for malicious uniform resource locators (URLs)
Qasem Abu Al-Haija, Mustafa Al-Fayoumi
Multi-level membership inference attacks in federated Learning based on active GAN
Hao Sui, Xiaobing Sun, Jiale Zhang, Bing Chen, Wenjuan Li
Time-series benchmarks based on frequency features for fair comparative evaluation
Zhou Wu, Ruiqi Jiang
Stacked autoencoder with novel integrated activation functions for the diagnosis of autism spectrum disorder
Kaviya Elakkiya M, Dejey
A two-stage screening framework for enhanced oil recovery methods, using artificial neural networks
Yasaman Cheraghi, Shahin Kord, Vahid Mashayekhizadeh
A modified Adam algorithm for deep neural network optimization
Mohamed Reyad, Amany M. Sarhan, M. Arafa
CaDenseNet: a novel deep learning approach using capsule network with attention for the identification of HIV-1 integration site
Minakshi Boruah, Ranjita Das
Towards robust CNN-based malware classifiers using adversarial examples generated based on two saliency similarities
Dazhi Zhan, Yue Hu, Weili Li, Jun Chen, Shize Guo, Zhisong Pan
Personality traits prediction model from Turkish contents with semantic structures
Muhammed Ali Kosan, Hacer Karacan, Burcu A. Urgen
Automatic document classification via transformers for regulations compliance management in large utility companies
Tolga Dimlioglu, Jing Wang, Devansh Bisla, Anna Choromanska, Simon Odie, Leon Bukhman, Afolabi Olomola, James D. Wong
A new classification method for diagnosing COVID-19 pneumonia based on joint CNN features of chest X-ray images and parallel pyramid MLP-mixer module
Yiwen Liu, Wenyu Xing, Mingbo Zhao, Mingquan Lin
Sle-CNN: a novel convolutional neural network for sleep stage classification
Zhenman Zhang, Yu Xue, Adam Slowik, Ziming Yuan
Attention-based spatial–temporal adaptive dual-graph convolutional network for traffic flow forecasting
Dawen Xia, Bingqi Shen, Jian Geng, Yang Hu, Yantao Li, Huaqing Li
Arabic spam tweets classification using deep learning
Sanaa Kaddoura, Suja A. Alex, Maher Itani, Safaa Henno, Asma AlNashash, D. Jude Hemanth
Early detection of COPD patients’ symptoms with personal environmental sensors: a remote sensing framework using probabilistic latent component analysis with linear dynamic systems
Şefki Kolozali, Lia Chatzidiakou, Roderic Jones, Jennifer K. Quint, Frank Kelly, Benjamin Barratt
HCPG: a highlighted contrastive learning framework for exemplar-guided paraphrase generation
Haoran Zhang, Li Li
Crop yield prediction algorithm (CYPA) in precision agriculture based on IoT techniques and climate changes
Fatma M. Talaat
Ant path integration: a novel optimization algorithm inspired by the path integration of desert ants
Abbas Fathtabar, Ataollah Ebrahimzadeh, Javad Kazemitabar
MOCOVIDOA: a novel multi-objective coronavirus disease optimization algorithm for solving multi-objective optimization problems
Asmaa M. Khalid, Hanaa M. Hamza, Seyedali Mirjalili, Khaid M. Hosny
A new Covid-19 diagnosis strategy using a modified KNN classifier
Asmaa H. Rabie, Alaa M. Mohamed, M. A. Abo-Elsoud, Ahmed I. Saleh
A data-driven intelligent decision support system that combines predictive and prescriptive analytics for the design of new textile fabrics
Rui Ribeiro, André Pilastri, Carla Moura, José Morgado, Paulo Cortez
A comparative study of anti-swing radial basis neural-fuzzy LQR controller for multi-degree-of-freedom rotary pendulum systems
Zied Ben Hazem, Zafer Bingül
Refinement of ensemble strategy for acute lymphoblastic leukemia microscopic images using hybrid CNN-GRU-BiLSTM and MSVM classifier
Kamel K. Mohammed, Aboul Ella Hassanien, Heba M. Afify
Diabetic retinopathy detection and diagnosis by means of robust and explainable convolutional neural networks
Francesco Mercaldo, Marcello Di Giammarco, Arianna Apicella, Giacomo Di Iadarola, Mario Cesarelli, Fabio Martinelli, Antonella Santone