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Deep Reinforcement Learning

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Showing 1251–1300 of 5822 papers

TitleStatusHype
Deep Reinforcement Learning for Optimizing Inverter Control: Fixed and Adaptive Gain Tuning Strategies for Power System Stability—0
Deep Reinforcement Learning for Trajectory and Phase Shift Optimization of Aerial RIS in CoMP-NOMA Networks—0
Safe Imitation Learning-based Optimal Energy Storage Systems Dispatch in Distribution Networks—0
Enhancing Adaptive Mixed-Criticality Scheduling with Deep Reinforcement Learning—0
From Hype to Reality: The Road Ahead of Deploying DRL in 6G Networks—0
A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environmentCode0
Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem—0
AdaptiveISP: Learning an Adaptive Image Signal Processor for Object Detection—0
Resource Governance in Networked Systems via Integrated Variational Autoencoders and Reinforcement Learning—0
Self-Driving Car Racing: Application of Deep Reinforcement Learning—0
Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated EvolutionCode0
Quantum Reinforcement Learning-Based Two-Stage Unit Commitment Framework for Enhanced Power Systems Robustness—0
Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradient—0
Reinforcement Learning-Based Downlink Transmit Precoding for Mitigating the Impact of Delayed CSI in Satellite Systems—0
Dual-Agent Deep Reinforcement Learning for Dynamic Pricing and Replenishment—0
Combining Deep Reinforcement Learning with a Jerk-Bounded Trajectory Generator for Kinematically Constrained Motion Planning—0
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning—0
Deep Reinforcement Learning Agents for Strategic Production Policies in Microeconomic Market SimulationsCode0
Adversarial Environment Design via Regret-Guided Diffusion Models—0
MetaTrading: An Immersion-Aware Model Trading Framework for Vehicular Metaverse Services—0
Implementing Deep Reinforcement Learning-Based Grid Voltage Control in Real-World Power Systems: Challenges and Insights—0
Evolutionary Dispersal of Ecological Species via Multi-Agent Deep Reinforcement Learning—0
Dynamic Spectrum Access for Ambient Backscatter Communication-assisted D2D Systems with Quantum Reinforcement Learning—0
Multimodal Information Bottleneck for Deep Reinforcement Learning with Multiple Sensors—0
Safe Load Balancing in Software-Defined-Networking—0
Invisible Manipulation Deep Reinforcement Learning Enhanced Stealthy Attacks on Battery Energy Management Systems—0
Corrected Soft Actor Critic for Continuous Control—0
LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded"—0
Patrol Security Game: Defending Against Adversary with Freedom in Attack Timing, Location, and Duration—0
Offline reinforcement learning for job-shop scheduling problems—0
Long-distance Geomagnetic Navigation in GNSS-denied Environments with Deep Reinforcement Learning—0
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space—0
AssemblyComplete: 3D Combinatorial Construction with Deep Reinforcement Learning—0
Reinfier and Reintrainer: Verification and Interpretation-Driven Safe Deep Reinforcement Learning FrameworksCode0
MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning—0
Hierarchical Reinforced Trader (HRT): A Bi-Level Approach for Optimizing Stock Selection and Execution—0
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents—0
DRL Optimization Trajectory Generation via Wireless Network Intent-Guided Diffusion Models for Optimizing Resource Allocation—0
Reinforcement Learning in Non-Markov Market-Making—0
Transformer Guided Coevolution: Improved Team Selection in Multiagent Adversarial Team Games—0
Adversarial Inception Backdoor Attacks against Reinforcement Learning—0
Deep Reinforcement Learning for Online Optimal Execution StrategiesCode0
Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach—0
A Hierarchical DRL Approach for Resource Optimization in Multi-RIS Multi-Operator Networks—0
Spectrum Sharing using Deep Reinforcement Learning in Vehicular Networks—0
AoI-Aware Resource Allocation for Smart Multi-QoS Provisioning—0
Physical Informed-Inspired Deep Reinforcement Learning Based Bi-Level Programming for Microgrid Scheduling—0
Advanced Persistent Threats (APT) Attribution Using Deep Reinforcement Learning—0
Communication-Control Codesign for Large-Scale Wireless Networked Control Systems—0
Solving The Dynamic Volatility Fitting Problem: A Deep Reinforcement Learning Approach—0
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