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Deep Reinforcement Learning

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TitleStatusHype
Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning—0
Weakly Coupled Deep Q-Networks—0
Hierarchical Framework for Interpretable and Probabilistic Model-Based Safe Reinforcement LearningCode1
Deep Reinforcement Learning for Weapons to Targets Assignment in a Hypersonic strike—0
Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion—0
Adaptive Resource Management for Edge Network Slicing using Incremental Multi-Agent Deep Reinforcement Learning—0
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in CuriosityCode0
FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing—0
Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach—0
Imperfect Digital Twin Assisted Low Cost Reinforcement Training for Multi-UAV Networks—0
Conditionally Combining Robot Skills using Large Language ModelsCode0
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration—0
Fractal Landscapes in Policy Optimization—0
Graph Attention-based Deep Reinforcement Learning for solving the Chinese Postman Problem with Load-dependent costsCode0
Solving the flexible job-shop scheduling problem through an enhanced deep reinforcement learning approach—0
Safe Navigation: Training Autonomous Vehicles using Deep Reinforcement Learning in CARLACode1
Diverse Priors for Deep Reinforcement Learning—0
AI on the Water: Applying DRL to Autonomous Vessel Navigation—0
Navigating the Ocean with DRL: Path following for marine vessels—0
Comparison of path following in ships using modern and traditional controllers—0
Neural Multi-Objective Combinatorial Optimization with Diversity EnhancementCode1
One is More: Diverse Perspectives within a Single Network for Efficient DRL—0
Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behaviorCode0
Enhanced Low-Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots Using Double Deep Reinforcement Learning TechniquesCode0
RL-X: A Deep Reinforcement Learning Library (not only) for RoboCupCode2
Cooperative Multi-Agent Deep Reinforcement Learning for Adaptive Decentralized Emergency Voltage Control—0
Interpretable Deep Reinforcement Learning for Optimizing Heterogeneous Energy Storage Systems—0
PathRL: An End-to-End Path Generation Method for Collision Avoidance via Deep Reinforcement Learning—0
Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation—0
Reward Shaping for Happier Autonomous Cyber Security Agents—0
Deep Reinforcement Learning-Enabled Adaptive Forecasting-Aided State Estimation in Distribution Systems with Multi-Source Multi-Rate Data—0
Deep Reinforcement Learning-based Intelligent Traffic Signal Controls with Optimized CO2 emissionsCode1
Dynamic Resource Management in Integrated NOMA Terrestrial-Satellite Networks using Multi-Agent Reinforcement Learning—0
Learning to Optimise Climate Sensor Placement using a Transformer—0
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control—0
Sim-to-Real Transfer of Adaptive Control Parameters for AUV Stabilization under Current Disturbance—0
Joint Optimization of Traffic Signal Control and Vehicle Routing in Signalized Road Networks using Multi-Agent Deep Reinforcement Learning—0
Unlocking Metasurface Practicality for B5G Networks: AI-assisted RIS Planning—0
Learning optimal integration of spatial and temporal information in noisy chemotaxisCode0
Leveraging Knowledge Distillation for Efficient Deep Reinforcement Learning in Resource-Constrained EnvironmentsCode0
Leveraging Topological Maps in Deep Reinforcement Learning for Multi-Object Navigation—0
Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action SpacesCode0
Alpha Elimination: Using Deep Reinforcement Learning to Reduce Fill-In during Sparse Matrix DecompositionCode0
Deep Reinforcement Learning with Explicit Context Representation—0
A Partially Supervised Reinforcement Learning Framework for Visual Active SearchCode0
Towards Semantic Communication Protocols for 6G: From Protocol Learning to Language-Oriented Approaches—0
A Blockchain-empowered Multi-Aggregator Federated Learning Architecture in Edge Computing with Deep Reinforcement Learning Optimization—0
Optimal Scheduling of Electric Vehicle Charging with Deep Reinforcement Learning considering End Users Flexibility—0
Evading Community Detection via Counterfactual Neighborhood Search—0
Beyond Traditional DoE: Deep Reinforcement Learning for Optimizing Experiments in Model Identification of Battery Dynamics—0
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