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Deep Reinforcement Learning

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Showing 4001–4050 of 5822 papers

TitleStatusHype
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics—0
Inverted Landing in a Small Aerial Robot via Deep Reinforcement Learning for Triggering and Control of Rotational Maneuvers—0
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond—0
Investigating Generalisation in Continuous Deep Reinforcement Learning—0
Investigating Navigation Strategies in the Morris Water Maze through Deep Reinforcement Learning—0
Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning—0
Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation—0
Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls—0
Investigating the Properties of Neural Network Representations in Reinforcement Learning—0
Investigating Vulnerabilities of Deep Neural Policies—0
Investigation of Factorized Optical Flows as Mid-Level Representations—0
Invisible Manipulation Deep Reinforcement Learning Enhanced Stealthy Attacks on Battery Energy Management Systems—0
IoV-Oriented Integrated Sensing, Computation, and Communication: System Design and Resource Allocation—0
IPM Move Planner: AN EFFICIENT EXPLOITING DEEP REINFORCEMENT LEARNING WITH MONTE CARLO TREE SEARCH—0
i-Rebalance: Personalized Vehicle Repositioning for Supply Demand Balance—0
BCR-DRL: Behavior- and Context-aware Reward for Deep Reinforcement Learning in Human-AI Coordination—0
IRS-Enhanced Secure Semantic Communication Networks: Cross-Layer and Context-Awared Resource Allocation—0
Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients—0
Is Exploration All You Need? Effective Exploration Characteristics for Transfer in Reinforcement Learning—0
A Survey and Critique of Multiagent Deep Reinforcement Learning—0
An Isolation-Aware Online Virtual Network Embedding via Deep Reinforcement Learning—0
Iterated Q-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning—0
Iterative Multi-Agent Reinforcement Learning: A Novel Approach Toward Real-World Multi-Echelon Inventory Optimization—0
Iterative Policy Learning in End-to-End Trainable Task-Oriented Neural Dialog Models—0
"Jam Me If You Can'': Defeating Jammer with Deep Dueling Neural Network Architecture and Ambient Backscattering Augmented Communications—0
Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning—0
Job Scheduling in Datacenters using Constraint Controlled RL—0
Data Centers Job Scheduling with Deep Reinforcement Learning—0
Joint Age-State Belief is All You Need: Minimizing AoII via Pull-Based Remote Estimation—0
Joint Attention for Multi-Agent Coordination and Social Learning—0
Beamforming and Resource Allocation for Delay Optimization in RIS-Assisted OFDM Systems—0
Joint Beamforming with Extremely Large Scale RIS: A Sequential Multi-Agent A2C Approach—0
Joint Channel Selection using FedDRL in V2X—0
Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT Networks by Reinforcement Learning with Sequential Model—0
Joint Coding and Scheduling Optimization for Distributed Learning over Wireless Edge Networks—0
Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning—0
Joint Energy Dispatch and Unit Commitment in Microgrids Based on Deep Reinforcement Learning—0
Joint Entity Linking with Deep Reinforcement Learning—0
Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference—0
Joint mode switching and resource allocation in wireless-powered RIS-aided multiuser communication systems—0
Joint Optimization of Traffic Signal Control and Vehicle Routing in Signalized Road Networks using Multi-Agent Deep Reinforcement Learning—0
Joint Power Allocation and Beamformer for mmW-NOMA Downlink Systems by Deep Reinforcement Learning—0
Joint Relay Selection and Beam Management Based on Deep Reinforcement Learning for Millimeter Wave Vehicular Communication—0
Radio Resource Management for Cellular-Connected UAV: A Learning Approach—0
Joint Resource Management for Energy-efficient UAV-assisted SWIPT-MEC: A Deep Reinforcement Learning Approach—0
Joint Resource Management for MC-NOMA: A Deep Reinforcement Learning Approach—0
Joint Sensing and Communication Optimization in Target-Mounted STARS-Assisted Vehicular Networks: A MADRL Approach—0
Joint Sensing and Communications for Deep Reinforcement Learning-based Beam Management in 6G—0
Joint Service Caching, Communication and Computing Resource Allocation in Collaborative MEC Systems: A DRL-based Two-timescale Approach—0
Joint Spectrum Sensing and Resource Allocation for OFDMA-based Underwater Acoustic Communications—0
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