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Deep Reinforcement Learning

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Showing 476–500 of 5822 papers

TitleStatusHype
A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry—0
Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach—0
DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoVCode1
Action-Attentive Deep Reinforcement Learning for Autonomous Alignment of BeamlinesCode0
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks—0
HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments—0
Reinforced Symbolic Learning with Logical Constraints for Predicting Turbine Blade Fatigue Life—0
Signaling and Social Learning in Swarms of Robots—0
Dynamics of Resource Allocation in O-RANs: An In-depth Exploration of On-Policy and Off-Policy Deep Reinforcement Learning for Real-Time Applications—0
Reinforcing Competitive Multi-Agents for Playing So Long Sucker—0
Wireless Resource Allocation with Collaborative Distributed and Centralized DRL under Control Channel Attacks—0
Mitigating Parameter Degeneracy using Joint Conditional Diffusion Model for WECC Composite Load Model in Power Systems—0
That Chip Has Sailed: A Critique of Unfounded Skepticism Around AI for Chip DesignCode5
Fair Resource Allocation in Weakly Coupled Markov Decision Processes—0
Edge Caching Optimization with PPO and Transfer Learning for Dynamic Environments—0
Towards Practical Deep Schedulers for Allocating Cellular Radio Resources—0
Towards Secure Intelligent O-RAN Architecture: Vulnerabilities, Threats and Promising Technical Solutions using LLMs—0
Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning—0
Optimizing Traffic Signal Control using High-Dimensional State Representation and Efficient Deep Reinforcement Learning—0
Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networks—0
Joint Age-State Belief is All You Need: Minimizing AoII via Pull-Based Remote Estimation—0
GSL-PCD: Improving Generalist-Specialist Learning with Point Cloud Feature-based Task Partitioning—0
To Train or Not to Train: Balancing Efficiency and Training Cost in Deep Reinforcement Learning for Mobile Edge Computing—0
OCMDP: Observation-Constrained Markov Decision Process—0
Real-time Monitoring and Analysis of Track and Field Athletes Based on Edge Computing and Deep Reinforcement Learning Algorithm—0
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