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Deep Reinforcement Learning

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TitleStatusHype
Dynamic Queue-Jump Lane for Emergency Vehicles under Partially Connected Settings: A Multi-Agent Deep Reinforcement Learning Approach—0
Real-World Human-Robot Collaborative Reinforcement Learning—0
Learn Task First or Learn Human Partner First: A Hierarchical Task Decomposition Method for Human-Robot Cooperation—0
On Catastrophic Interference in Atari 2600 GamesCode0
Deep Reinforcement Learning for FlipIt Security Game—0
Deep Reinforcement Learning Based Intelligent Reflecting Surface for Secure Wireless Communications—0
Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image—0
A Visual Communication Map for Multi-Agent Deep Reinforcement Learning—0
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework—0
When Do Drivers Concentrate? Attention-based Driver Behavior Modeling With Deep Reinforcement Learning—0
Metric-Based Imitation Learning Between Two Dissimilar Anthropomorphic Robotic Arms—0
Off-Policy Deep Reinforcement Learning with Analogous Disentangled ExplorationCode0
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization—0
How Transferable are the Representations Learned by Deep Q Agents?—0
Periodic Q-Learning—0
Deep Reinforcement Learning with Linear Quadratic Regulator Regions—0
Optimizing Traffic Lights with Multi-agent Deep Reinforcement Learning and V2X communication—0
Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks—0
Guided Constrained Policy Optimization for Dynamic Quadrupedal Robot Locomotion—0
Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation—0
Vehicle Tracking in Wireless Sensor Networks via Deep Reinforcement Learning—0
Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach—0
Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach—0
Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning—0
Learning to Walk in the Real World with Minimal Human Effort—0
Efficient Deep Reinforcement Learning via Adaptive Policy TransferCode0
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge—0
Multi-Issue Bargaining With Deep Reinforcement Learning—0
Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning—0
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning—0
Deep Reinforcement Learning-Based Beam Tracking for Low-Latency Services in Vehicular Networks—0
MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using Decomposition and Attention Model for Multiobjective Optimization—0
Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing—0
Learning Multi-Agent Coordination through Connectivity-driven Communication—0
AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment -- Challenges and Solutions—0
On Reward Shaping for Mobile Robot Navigation: A Reinforcement Learning and SLAM Based Approach—0
Proficiency Constrained Multi-Agent Reinforcement Learning for Environment-Adaptive Multi UAV-UGV Teaming—0
Reward Tweaking: Maximizing the Total Reward While Planning for Short Horizons—0
RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning—0
Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling—0
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning—0
Learning Whole-body Motor Skills for Humanoids—0
Dynamic Energy Dispatch Based on Deep Reinforcement Learning in IoT-Driven Smart Isolated Microgrids—0
Unboxing MAC Protocol Design Optimization Using Deep Learning—0
Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach—0
Bootstrapping a DQN Replay Memory with Synthetic Experiences—0
Neuro-evolutionary Frameworks for Generalized Learning Agents—0
Prophet: Proactive Candidate-Selection for Federated Learning by Predicting the Qualities of Training and Reporting Phases—0
Deep Reinforcement Learning for Autonomous Driving: A Survey—0
PolicyGNN: Aggregation Optimization for Graph Neural Networks—0
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