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Deep Reinforcement Learning

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TitleStatusHype
Edge Delayed Deep Deterministic Policy Gradient: efficient continuous control for edge scenarios—0
FoldingZero: Protein Folding from Scratch in Hydrophobic-Polar Model—0
FollowNet: Robot Navigation by Following Natural Language Directions with Deep Reinforcement Learning—0
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals—0
A deep reinforcement learning model for predictive maintenance planning of road assets: Integrating LCA and LCCA—0
Edge Caching Optimization with PPO and Transfer Learning for Dynamic Environments—0
Attention-Enhanced Prioritized Proximal Policy Optimization for Adaptive Edge Caching—0
Data-Driven Transferred Energy Management Strategy for Hybrid Electric Vehicles via Deep Reinforcement Learning—0
Formal Methods with a Touch of Magic—0
Forming Real-World Human-Robot Cooperation for Tasks With General Goal—0
Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data—0
Formulation and validation of a car-following model based on deep reinforcement learning—0
Emotional Contagion-Aware Deep Reinforcement Learning for Antagonistic Crowd Simulation—0
Active Neural Topological Mapping for Multi-Agent Exploration—0
FOSS: A Self-Learned Doctor for Query Optimizer—0
Foundation Model-Aided Deep Reinforcement Learning for RIS-Assisted Wireless Communication—0
GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning—0
Fractal Landscapes in Policy Optimization—0
Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing—0
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection—0
Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach—0
FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback—0
From Ceilings to Walls: Universal Dynamic Perching of Small Aerial Robots on Surfaces with Variable Orientations—0
From Crystallized Adaptivity to Fluid Adaptivity in Deep Reinforcement Learning -- Insights from Biological Systems on Adaptive Flexibility—0
Graph-Embedded Multi-Agent Learning for Smart Reconfigurable THz MIMO-NOMA Networks—0
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning—0
Graph Neural Network Aided Deep Reinforcement Learning for Resource Allocation in Dynamic Terahertz UAV Networks—0
From Grunts to Grammar: Emergent Language from Cooperative Foraging—0
Edge AI for Internet of Energy: Challenges and Perspectives—0
From Simulation to Real World Maneuver Execution using Deep Reinforcement Learning—0
DDPG based on multi-scale strokes for financial time series trading strategy—0
Adversarial jamming attacks and defense strategies via adaptive deep reinforcement learning—0
EDEN: Entorhinal Driven Egocentric Navigation Toward Robotic Deployment—0
Complementary reinforcement learning towards explainable agents—0
Full Gradient Deep Reinforcement Learning for Average-Reward Criterion—0
Fully Distributed Actor-Critic Architecture for Multitask Deep Reinforcement Learning—0
Fully Spiking Actor Network with Intra-layer Connections for Reinforcement Learning—0
Fully Spiking Neural Network for Legged Robots—0
Functional Error Correction for Robust Neural Networks—0
Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking—0
FuzzerGym: A Competitive Framework for Fuzzing and Learning—0
Associative Memory Based Experience Replay for Deep Reinforcement Learning—0
GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds—0
GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains—0
Economic Battery Storage Dispatch with Deep Reinforcement Learning from Rule-Based Demonstrations—0
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis—0
Game-Theoretical Analysis of Reviewer Rewards in Peer-Review Journal Systems: Analysis and Experimental Evaluation using Deep Reinforcement Learning—0
Game-Theoretic Deep Reinforcement Learning to Minimize Carbon Emissions and Energy Costs for AI Inference Workloads in Geo-Distributed Data Centers—0
Gamma-Nets: Generalizing Value Estimation over Timescale—0
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models—0
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