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Deep Reinforcement Learning

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Showing 801–850 of 5822 papers

TitleStatusHype
Can an AI agent hit a moving target?—0
A Narration-based Reward Shaping Approach using Grounded Natural Language Commands—0
A Deep Reinforcement Learning Approach for Adaptive Traffic Routing in Next-gen Networks—0
An Analysis of Deep Reinforcement Learning Agents for Text-based Games—0
Analyzing Visual Representations in Embodied Navigation Tasks—0
A Deep Reinforcement Learning Approach for Interactive Search with Sentence-level Feedback—0
Load Balancing for Ultra-Dense Networks: A Deep Reinforcement Learning Based Approach—0
Analyzing the Hidden Activations of Deep Policy Networks: Why Representation Matters—0
Analyzing Robustness of the Deep Reinforcement Learning Algorithm in Ramp Metering Applications Considering False Data Injection Attack and Defense—0
A Mobile Data-Driven Hierarchical Deep Reinforcement Learning Approach for Real-time Demand-Responsive Railway Rescheduling and Station Overcrowding Mitigation—0
Analyzing Knowledge Transfer in Deep Q-Networks for Autonomously Handling Multiple Intersections—0
AAAI Workshop on AI Planning for Cyber-Physical Systems -- CAIPI24—0
Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation—0
Building Safer Autonomous Agents by Leveraging Risky Driving Behavior Knowledge—0
Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning—0
Analyzing and Bridging the Gap between Maximizing Total Reward and Discounted Reward in Deep Reinforcement Learning—0
Analyzing Adversarial Inputs in Deep Reinforcement Learning—0
Analysis of Social Robotic Navigation approaches: CNN Encoder and Incremental Learning as an alternative to Deep Reinforcement Learning—0
Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation—0
A Deep Reinforcement Learning Approach for Composing Moving IoT Services—0
A Critical Review of Safe Reinforcement Learning Techniques in Smart Grid Applications—0
Analysis and Optimisation of Bellman Residual Errors with Neural Function Approximation—0
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation—0
A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones—0
Decentralized Deep Reinforcement Learning for Delay-Power Tradeoff in Vehicular Communications—0
A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization—0
Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning—0
Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning—0
An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing—0
An adaptive synchronization approach for weights of deep reinforcement learning—0
A Deep Reinforcement Learning Approach towards Pendulum Swing-up Problem based on TF-Agents—0
An Adaptive Device-Edge Co-Inference Framework Based on Soft Actor-Critic—0
An A* Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation—0
Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning—0
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments—0
A Deep Reinforced Sequence-to-Set Model for Multi-Label Text Classification—0
An Abstraction-based Method to Check Multi-Agent Deep Reinforcement-Learning Behaviors—0
A Deep Q-Network for the Beer Game: A Deep Reinforcement Learning algorithm to Solve Inventory Optimization Problems—0
A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation—0
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning—0
Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning—0
Building Advanced Dialogue Managers for Goal-Oriented Dialogue Systems—0
A Multi-Objective Deep Reinforcement Learning Framework—0
A Deep Q-Network Based on Radial Basis Functions for Multi-Echelon Inventory Management—0
A Multi-Agent DRL-Based Framework for Optimal Resource Allocation and Twin Migration in the Multi-Tier Vehicular Metaverse—0
A Multi-Agent Deep Reinforcement Learning Method for Cooperative Load Frequency Control of a Multi-Area Power System—0
A Deep Q-Learning Method for Downlink Power Allocation in Multi-Cell Networks—0
A Multi-Agent Deep Reinforcement Learning Coordination Framework for Connected and Automated Vehicles at Merging Roadways—0
A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids—0
A Deep Policy Inference Q-Network for Multi-Agent Systems—0
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