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Deep Reinforcement Learning

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Showing 1951–1975 of 5822 papers

TitleStatusHype
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning—0
Enhancing Cyber-Resilience in Integrated Energy System Scheduling with Demand Response Using Deep Reinforcement Learning—0
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation—0
Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy—0
Program Machine Policy: Addressing Long-Horizon Tasks by Integrating Program Synthesis and State Machines—0
Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs—0
Margin Trader: A Reinforcement Learning Framework for Portfolio Management with Margin and ConstraintsCode0
Agent as Cerebrum, Controller as Cerebellum: Implementing an Embodied LMM-based Agent on Drones—0
Efficient Open-world Reinforcement Learning via Knowledge Distillation and Autonomous Rule Discovery—0
How to ensure a safe control strategy? Towards a SRL for urban transit autonomous operation—0
Towards Explainable Strategy Templates using NLP Transformers—0
A DRL solution to help reduce the cost in waiting time of securing a traffic light for cyclistsCode0
High-Speed Voltage Control in Active Distribution Systems with Smart Inverter Coordination and Deep Reinforcement Learning—0
Neural Approximate Dynamic Programming for the Ultra-fast Order Dispatching Problem—0
AIaaS for ORAN-based 6G Networks: Multi-time Scale Slice Resource Management with DRL—0
ADAPTER-RL: Adaptation of Any Agent using Reinforcement Learning—0
Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving CarsCode0
Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part I: Communication-Aware Vehicle Control—0
Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies—0
Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part II: Control-Aware Radio Resource Allocation—0
6G Fresnel Spot Beamfocusing using Large-Scale Metasurfaces: A Distributed DRL-Based Approach—0
Benchmarking Feature Extractors for Reinforcement Learning-Based Semiconductor Defect Localization—0
Joint Sensing and Communication Optimization in Target-Mounted STARS-Assisted Vehicular Networks: A MADRL Approach—0
Guaranteeing Control Requirements via Reward Shaping in Reinforcement LearningCode0
Short vs. Long-term Coordination of Drones: When Distributed Optimization Meets Deep Reinforcement Learning—0
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