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Deep Reinforcement Learning

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TitleStatusHype
Dynamic Unicast-Multicast Scheduling for Age-Optimal Information Dissemination in Vehicular Networks—0
Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning—0
Dynamic Weight Adjusting Deep Q-Networks for Real-Time Environmental Adaptation—0
DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems—0
Earth Observation Satellite Scheduling with Graph Neural Networks—0
EcoLight: Intersection Control in Developing Regions Under Extreme Budget and Network Constraints—0
Economic Battery Storage Dispatch with Deep Reinforcement Learning from Rule-Based Demonstrations—0
EDEN: Entorhinal Driven Egocentric Navigation Toward Robotic Deployment—0
Edge AI for Internet of Energy: Challenges and Perspectives—0
Attention-Enhanced Prioritized Proximal Policy Optimization for Adaptive Edge Caching—0
Edge Caching Optimization with PPO and Transfer Learning for Dynamic Environments—0
Edge Delayed Deep Deterministic Policy Gradient: efficient continuous control for edge scenarios—0
Edge Intelligence for Energy-efficient Computation Offloading and Resource Allocation in 5G Beyond—0
EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing—0
EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning—0
Effective Baselines for Multiple Object Rearrangement Planning in Partially Observable Mapped Environments—0
Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization—0
Effective Medical Test Suggestions Using Deep Reinforcement Learning—0
Effective Reward Specification in Deep Reinforcement Learning—0
Effective Scheduling Function Design in SDN through Deep Reinforcement Learning—0
Effects of a Social Force Model reward in Robot Navigation based on Deep Reinforcement Learning—0
Effects of Smart Traffic Signal Control on Air Quality—0
Effects of sparse rewards of different magnitudes in the speed of learning of model-based actor critic methods—0
Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning—0
Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change—0
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