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Cooperative Multi-agent Control Using Deep Reinforcement Learning

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Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial ObservabilityPreprint

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End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances

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Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement LearningPreprint

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Lenient Multi-Agent Deep Reinforcement Learning

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Efficient Object Detection in Large Images Using Deep Reinforcement Learning

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Multi-camera transfer GAN for person re-identification

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Scaling Up Reinforcement Learning for Robot Control

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Evolutionary Learning of Interpretable Decision Trees

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An Advanced Deep Residual Dense Network (DRDN) Approach for Image Super-Resolution

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From Discriminant to Complete: Reinforcement Searching-Agent Learning for Weakly Supervised Object Detection

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Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing

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SeFACED: Semantic-Based Forensic Analysis and Classification of E-Mail Data Using Deep Learning

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Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning

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Small Object Detection via Precise Region-Based Fully Convolutional Networks

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A Deep Policy Inference Q-Network for Multi-Agent SystemsPreprint

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Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments

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Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network

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Bayesian Deep Reinforcement Learning via Deep Kernel Learning

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Deep Network Ensemble Learning applied to Image Classification using CNN TreesPreprint

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Digit Image Recognition Using an Ensemble of One-Versus-All Deep Network Classifiers

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Deep Reinforcement Learning with Adaptive Update Target Combination

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Evolving Neural Networks in Reinforcement Learning by means of UMDAcPreprint

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Optimizing Q-Learning with K-FAC Algorithm

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A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation

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Machine learning-inspired intrusion detection system for IoT: Security issues and future challenges

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Self-attention and long-range relationship capture network for underwater object detection

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Exploring a frequency-domain attention-guided cascade U-Net: Towards spatially tunable segmentation of vasculature

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Carbon-based molecular properties efficiently predicted by deep learning-based quantum chemical simulation with large language models

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Multi-source data based anomaly detection through temporal and spatial characteristics

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Enhanced computer vision applications with blockchain: A review of applications and opportunities

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Gene selection and cancer classification using interaction-based feature clustering and improved-binary Bat algorithm

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A feature matching and compensation method based on importance weighting for occluded human pose estimation

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Research on path planning of intelligent maintenance robotic arm for distribution lines under complex environment

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A novel large capacity coverless image steganography method based on hybrid framework of image generation-mapping

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A Reinforcement Learning List Recommendation Model Fused with Graph Neural Networks

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PCNet: a human pose compensation network based on incremental learning for sports actions estimation

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Visually meaningful encryption for UAV image management achieving a balance between privacy and visual usability

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Image Encryption using Color Space Neural Network Transformation and Chaotic Pixel Perturbation

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A Comprehensive Review of Reinforcement Learning in Intelligent Allocation and Optimization of Educational Resources

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Robust watermarking algorithm for oblique photography 3D models based on multi-level curvature and weighted distance

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Enhanced brain image security using a hybrid of lifting wavelet transform and support vector machine

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Design of a federated learning algorithm for power big data privacy computing based on pruning technique and homomorphic encryption

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Enhancing Educational Feedback Systems using Deep Queue-Dependent Networking: An Automatic StudentAssessment with AI

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A Multi-Type Feature Fusion Network Based on Importance Weighting for Occluded Human Pose Estimation

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Design and Implementation of Blockchain-Enabled Immutability Mechanism for Enhanced Machine Visual Data IntegrityPreprint

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Quadruped Robot System Based on Reinforcement Learning and Parallel Simulation Training

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A holistic securing approach to speech steganography system with message embedding and pause optimization

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Reversible data hiding in encrypted images using graph neural networks with thumbnail preserving encryption

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Machine Learning Approaches for Planning of Robot Manipulation: A Review

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Reinforcement learning optimization for dynamic recovery of tailings resources under industrial internet of things

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Attention-guided trilateral network for real-time semantic segmentation

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Optimizing Robotic Manipulation and Grasping Techniques for Complex Tasks Using Reinforcement Learning and Computer Vision

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HybridNetSlice: Leveraging Deep Learning for 5G Network Slice Prediction

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Reinforcement Learning and Generative AI in Autonomous Robotics with LLM Integration

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Deep Reinforcement Learning for Multi-Agent Systems: From Individual Learning to Collective Intelligence

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Reinforcement Learning: Past, Present, and Future Perspectives

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