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Deep Reinforcement Learning

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Showing 4251–4300 of 5822 papers

TitleStatusHype
Learning Vehicle Routing Problems using Policy Optimisation—0
Learning What Data to Learn—0
Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts—0
Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations—0
Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring—0
Learning Whole-body Motor Skills for Humanoids—0
Learn Once Plan Arbitrarily (LOPA): Attention-Enhanced Deep Reinforcement Learning Method for Global Path Planning—0
Learn Task First or Learn Human Partner First: A Hierarchical Task Decomposition Method for Human-Robot Cooperation—0
Learn to Earn: Enabling Coordination within a Ride Hailing Fleet—0
Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point-Based Approach—0
Learn to Play Tetris with Deep Reinforcement Learning—0
Learn to Schedule (LEASCH): A Deep reinforcement learning approach for radio resource scheduling in the 5G MAC layer—0
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning—0
LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games—0
Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning—0
Less is More: A Stealthy and Efficient Adversarial Attack Method for DRL-based Autonomous Driving Policies—0
Less is more? Rewards in RL for Cyber Defence—0
Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning—0
Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement Learning-Based Planning Framework—0
Leveraging AI and Intelligent Reflecting Surface for Energy-Efficient Communication in 6G IoT—0
Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem—0
Leveraging Deep Reinforcement Learning for Metacognitive Interventions across Intelligent Tutoring Systems—0
Leveraging Event Streams with Deep Reinforcement Learning for End-to-End UAV Tracking—0
Leveraging Federated Learning and Edge Computing for Recommendation Systems within Cloud Computing Networks—0
Leveraging Large Language Models for DRL-Based Anti-Jamming Strategies in Zero Touch Networks—0
Leveraging LLMs to explain DRL decisions for transparent 6G network slicing—0
Leveraging Partial SMILES Validation Scheme for Enhanced Drug Design in Reinforcement Learning Frameworks—0
Leveraging Reinforcement Learning and Koopman Theory for Enhanced Model Predictive Control Performance—0
Leveraging Reward Gradients For Reinforcement Learning in Differentiable Physics Simulations—0
Leveraging Topological Maps in Deep Reinforcement Learning for Multi-Object Navigation—0
Lifelong reinforcement learning for health-aware fast charging of lithium-ion batteries—0
Life, uh, Finds a Way: Systematic Neural Search—0
Lifting the veil on hyper-parameters for value-based deep reinforcement learning—0
Lightweight Authenticated Task Offloading in 6G-Cloud Vehicular Twin Networks—0
LiLM-RDB-SFC: Lightweight Language Model with Relational Database-Guided DRL for Optimized SFC Provisioning—0
Limited Parameter Denoising for Low-dose X-ray Computed Tomography Using Deep Reinforcement Learning—0
Linear Feature Encoding for Reinforcement Learning—0
LiveMap: Real-Time Dynamic Map in Automotive Edge Computing—0
LL-GABR: Energy Efficient Live Video Streaming Using Reinforcement Learning—0
LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded"—0
LLM-Enabled In-Context Learning for Data Collection Scheduling in UAV-assisted Sensor Networks—0
Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement Learning—0
Local Communication Protocols for Learning Complex Swarm Behaviors with Deep Reinforcement Learning—0
Local Explanations for Reinforcement Learning—0
Local Information Opponent Modelling Using Variational Autoencoders—0
Locality-Sensitive Experience Replay for Online Recommendation—0
Localized Observation Abstraction Using Piecewise Linear Spatial Decay for Reinforcement Learning in Combat Simulations—0
Logic and the 2-Simplicial Transformer—0
Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning—0
Long-distance Geomagnetic Navigation in GNSS-denied Environments with Deep Reinforcement Learning—0
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