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Deep Reinforcement Learning

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Showing 551–600 of 5822 papers

TitleStatusHype
LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded"—0
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space—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
AssemblyComplete: 3D Combinatorial Construction with Deep Reinforcement Learning—0
Hierarchical Reinforced Trader (HRT): A Bi-Level Approach for Optimizing Stock Selection and Execution—0
MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning—0
Reinfier and Reintrainer: Verification and Interpretation-Driven Safe Deep Reinforcement Learning FrameworksCode0
Reinforcement Learning in Non-Markov Market-Making—0
Streaming Deep Reinforcement Learning Finally WorksCode3
Benchmarking Deep Reinforcement Learning for Navigation in Denied Sensor EnvironmentsCode1
DRL Optimization Trajectory Generation via Wireless Network Intent-Guided Diffusion Models for Optimizing Resource Allocation—0
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents—0
Adversarial Inception Backdoor Attacks against Reinforcement Learning—0
Transformer Guided Coevolution: Improved Team Selection in Multiagent Adversarial Team Games—0
Deep Reinforcement Learning for Online Optimal Execution StrategiesCode0
A Hierarchical DRL Approach for Resource Optimization in Multi-RIS Multi-Operator Networks—0
AoI-Aware Resource Allocation for Smart Multi-QoS Provisioning—0
Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach—0
Spectrum Sharing using Deep Reinforcement Learning in Vehicular Networks—0
Physical Informed-Inspired Deep Reinforcement Learning Based Bi-Level Programming for Microgrid Scheduling—0
Solving The Dynamic Volatility Fitting Problem: A Deep Reinforcement Learning Approach—0
Communication-Control Codesign for Large-Scale Wireless Networked Control Systems—0
Advanced Persistent Threats (APT) Attribution Using Deep Reinforcement Learning—0
DR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation—0
Compositional Shielding and Reinforcement Learning for Multi-Agent Systems—0
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach—0
Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting in Jamming Mitigation—0
Improving Generalization on the ProcGen Benchmark with Simple Architectural Changes and ScaleCode0
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement LearningCode2
Multi-Agent Actor-Critics in Autonomous Cyber Defense—0
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL—0
Exploring Natural Language-Based Strategies for Efficient Number Learning in Children through Reinforcement LearningCode0
Large Vision Model-Enhanced Digital Twin with Deep Reinforcement Learning for User Association and Load Balancing in Dynamic Wireless Networks—0
Neuroplastic Expansion in Deep Reinforcement Learning—0
Masked Generative Priors Improve World Models Sequence Modelling Capabilities—0
Variations in Multi-Agent Actor-Critic Frameworks for Joint Optimizations in UAV Swarm Networks: Recent Evolution, Challenges, and Directions—0
AAAI Workshop on AI Planning for Cyber-Physical Systems -- CAIPI24—0
Generative Artificial Intelligence (GAI) for Mobile Communications: A Diffusion Model PerspectiveCode1
Learning-Based Shielding for Safe Autonomy under Unknown Dynamics—0
Training Interactive Agent in Large FPS Game Map with Rule-enhanced Reinforcement Learning—0
Toward Debugging Deep Reinforcement Learning Programs with RLExplorer—0
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector QuantizationCode1
Latent Action Priors for Locomotion with Deep Reinforcement Learning—0
Joint Channel Selection using FedDRL in V2X—0
Leveraging Event Streams with Deep Reinforcement Learning for End-to-End UAV Tracking—0
Semantic-Guided RL for Interpretable Feature Engineering—0
Realizable Continuous-Space Shields for Safe Reinforcement Learning—0
Generative Diffusion-based Contract Design for Efficient AI Twins Migration in Vehicular Embodied AI Networks—0
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