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Deep Reinforcement Learning

Papers

Showing 38513875 of 5822 papers

TitleStatusHype
DOOM: A Novel Adversarial-DRL-Based Op-Code Level Metamorphic Malware Obfuscator for the Enhancement of IDS0
Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning with Intrinsic-Extrinsic Modeling0
Autonomous Control of a Particle Accelerator using Deep Reinforcement Learning0
Revenue and Energy Efficiency-Driven Delay Constrained Computing Task Offloading and Resource Allocation in a Vehicular Edge Computing Network: A Deep Reinforcement Learning Approach0
Energy-Efficient Control Adaptation with Safety Guarantees for Learning-Enabled Cyber-Physical Systems0
A Nesterov's Accelerated quasi-Newton method for Global Routing using Deep Reinforcement Learning0
MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning AgentsCode0
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous ControlCode1
Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design0
UAV Path Planning using Global and Local Map Information with Deep Reinforcement LearningCode1
Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search0
Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution SystemsCode1
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review0
A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a Graphic Convolution Q NetworkCode1
Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond0
Deep-Reinforcement-Learning-Based Scheduling with Contiguous Resource Allocation for Next-Generation Cellular Systems0
Contrastive Explanations for Reinforcement Learning via Embedded Self PredictionsCode0
Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V CommunicationCode1
Deep Reinforcement Learning for Asset Allocation in US Equities0
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement LearningCode1
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning0
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological ModelsCode1
Learning Intrinsic Symbolic Rewards in Reinforcement Learning0
Guided Curriculum Learning for Walking Over Complex Terrain0
Prioritized Level ReplayCode1
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