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Deep Reinforcement Learning

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Showing 1501–1550 of 5822 papers

TitleStatusHype
Combining Automated Optimisation of Hyperparameters and Reward ShapeCode0
Performance Comparison of Deep RL Algorithms for Mixed Traffic Cooperative Lane-Changing—0
On the consistency of hyper-parameter selection in value-based deep reinforcement learningCode0
Fault Detection for agents on power grid topology optimization: A Comprehensive analysis—0
CAV-AHDV-CAV: Mitigating Traffic Oscillations for CAVs through a Novel Car-Following Structure and Reinforcement Learning—0
Understanding and Diagnosing Deep Reinforcement Learning—0
OpticGAI: Generative AI-aided Deep Reinforcement Learning for Optical Networks Optimization—0
Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach—0
Deep UAV Path Planning with Assured Connectivity in Dense Urban Setting—0
KnobTree: Intelligent Database Parameter Configuration via Explainable Reinforcement Learning—0
Graph Neural Networks for Job Shop Scheduling Problems: A Survey—0
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over GraphsCode0
Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning Approach—0
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo—0
Online Context Learning for Socially Compliant NavigationCode0
Attention-Based Deep Reinforcement Learning for Qubit Allocation in Modular Quantum Architectures—0
Multi-UAV Multi-RIS QoS-Aware Aerial Communication Systems using DRL and PSO—0
Grad-Instructor: Universal Backpropagation with Explainable Evaluation Neural Networks for Meta-learning and AutoML—0
Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method in Multi-Agent Deep Reinforcement Learning—0
Misam: Using ML in Dataflow Selection of Sparse-Sparse Matrix Multiplication—0
CUER: Corrected Uniform Experience Replay for Off-Policy Continuous Deep Reinforcement Learning Algorithms—0
Hierarchical Reinforcement Learning for Swarm Confrontation with High UncertaintyCode0
Optimizing Deep Reinforcement Learning for Adaptive Robotic Arm Control—0
Adaptive Swarm Mesh Refinement using Deep Reinforcement Learning with Local Rewards—0
Reinforcement Learning to Disentangle Multiqubit Quantum States from Partial ObservationsCode0
Explore-Go: Leveraging Exploration for Generalisation in Deep Reinforcement Learning—0
Deep reinforcement learning with positional context for intraday trading—0
Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling—0
DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach—0
Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language ModelsCode0
Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning?Code0
Towards Real-World Efficiency: Domain Randomization in Reinforcement Learning for Pre-Capture of Free-Floating Moving Targets by Autonomous RobotsCode0
Verification-Guided Shielding for Deep Reinforcement Learning—0
Online Policy Distillation with Decision-Attention—0
Multi-attribute Auction-based Resource Allocation for Twins Migration in Vehicular Metaverses: A GPT-based DRL Approach—0
Probabilistic Perspectives on Error Minimization in Adversarial Reinforcement LearningCode0
Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning—0
Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learning—0
Optimizing Automatic Differentiation with Deep Reinforcement Learning—0
ChatPCG: Large Language Model-Driven Reward Design for Procedural Content Generation—0
Exploring Pessimism and Optimism Dynamics in Deep Reinforcement Learning—0
Stochastic Dynamic Network Utility Maximization with Application to Disaster Response—0
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model—0
Verifying the Generalization of Deep Learning to Out-of-Distribution Domains—0
By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning—0
Algorithmic Collusion in Dynamic Pricing with Deep Reinforcement Learning—0
A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies—0
Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning—0
Deep Reinforcement Learning Behavioral Mode Switching Using Optimal Control Based on a Latent Space Objective—0
An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing—0
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