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Deep Reinforcement Learning

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Showing 2801–2850 of 5822 papers

TitleStatusHype
Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing—0
Graph Reinforcement Learning for Operator Selection in the ALNS Metaheuristic—0
GANDSE: Generative Adversarial Network based Design Space Exploration for Neural Network Accelerator Design—0
Large-Scale Graph Reinforcement Learning in Wireless Control Systems—0
GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback—0
Graph Value Iteration—0
Decentralized cooperative perception for autonomous vehicles: Learning to value the unknown—0
Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression and Challenge—0
Green Resource Allocation in Cloud-Native O-RAN Enabled Small Cell Networks—0
Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search—0
A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning—0
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving—0
GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement Learning—0
GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal—0
Adversarially Trained Neural Policies in the Fourier Domain—0
GAN-powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicing—0
Decentralized Cooperative Lane Changing at Freeway Weaving Areas Using Multi-Agent Deep Reinforcement Learning—0
Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion—0
Gamma-Nets: Generalizing Value Estimation over Timescale—0
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning—0
A State Representation Dueling Network for Deep Reinforcement Learning—0
Game-Theoretic Deep Reinforcement Learning to Minimize Carbon Emissions and Energy Costs for AI Inference Workloads in Geo-Distributed Data Centers—0
Game-Theoretical Analysis of Reviewer Rewards in Peer-Review Journal Systems: Analysis and Experimental Evaluation using Deep Reinforcement Learning—0
Guidance Design for Escape Flight Vehicle Using Evolution Strategy Enhanced Deep Reinforcement Learning—0
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis—0
Guided Curriculum Learning for Walking Over Complex Terrain—0
GAIT: Generating Aesthetic Indoor Tours with Deep Reinforcement Learning—0
Guided Exploration in Deep Reinforcement Learning—0
DearFSAC: An Approach to Optimizing Unreliable Federated Learning via Deep Reinforcement Learning—0
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning—0
GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains—0
GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds—0
Guiding drones by information gain—0
Dealing with Sparse Rewards Using Graph Neural Networks—0
FuzzerGym: A Competitive Framework for Fuzzing and Learning—0
GymPN: A Library for Decision-Making in Process Management Systems—0
Associative Memory Based Experience Replay for Deep Reinforcement Learning—0
Halftoning with Multi-Agent Deep Reinforcement Learning—0
Handling Cost and Constraints with Off-Policy Deep Reinforcement Learning—0
Functional Error Correction for Robust Neural Networks—0
Handover and SINR-Aware Path Optimization in 5G-UAV mmWave Communication using DRL—0
Handover Protocol Learning for LEO Satellite Networks: Access Delay and Collision Minimization—0
HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach—0
Hard instance learning for quantum adiabatic prime factorization—0
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning—0
Fully Spiking Neural Network for Legged Robots—0
Harnessing DRL for URLLC in Open RAN: A Trade-off Exploration—0
Fully Spiking Actor Network with Intra-layer Connections for Reinforcement Learning—0
Accelerating Serverless Computing by Harvesting Idle Resources—0
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning—0
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