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Deep Reinforcement Learning

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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
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