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Deep Reinforcement Learning

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Showing 5751–5800 of 5822 papers

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
Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning—0
Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning—0
Efficient and Sustainable Task Offloading in UAV-Assisted MEC Systems via Meta Deep Reinforcement Learning—0
Efficient Autonomy Validation in Simulation with Adaptive Stress Testing—0
Efficient Bayesian Policy Reuse with a Scalable Observation Model in Deep Reinforcement Learning—0
Efficient Beam Selection for ISAC in Cell-Free Massive MIMO via Digital Twin-Assisted Deep Reinforcement Learning—0
Efficient collective swimming by harnessing vortices through deep reinforcement learning—0
Efficient Policy Generation in Multi-Agent Systems via Hypergraph Neural Network—0
Efficient Deep Reinforcement Learning Requires Regulating Overfitting—0
Efficient Dialogue Complementary Policy Learning via Deep Q-network Policy and Episodic Memory Policy—0
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning—0
Efficient entity-based reinforcement learning—0
Efficient Entropy for Policy Gradient with Multidimensional Action Space—0
Efficient Exploration in Deep Reinforcement Learning: A Novel Bayesian Actor-Critic Algorithm—0
Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization—0
Efficient Halftoning via Deep Reinforcement Learning—0
Efficient Hyperparameter Optimization for Physics-based Character Animation—0
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space—0
Efficient Learning of High Level Plans from Play—0
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning—0
Efficiently Training On-Policy Actor-Critic Networks in Robotic Deep Reinforcement Learning with Demonstration-like Sampled Exploration—0
Efficient Multi-robot Exploration via Multi-head Attention-based Cooperation Strategy—0
Efficient Navigation of Colloidal Robots in an Unknown Environment via Deep Reinforcement Learning—0
Efficient Online Learning for Cognitive Radar-Cellular Coexistence via Contextual Thompson Sampling—0
Efficient Open-world Reinforcement Learning via Knowledge Distillation and Autonomous Rule Discovery—0
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