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Deep Reinforcement Learning

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Showing 4001–4025 of 5822 papers

TitleStatusHype
Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL—0
Using Part-based Representations for Explainable Deep Reinforcement Learning—0
Utilization of Deep Reinforcement Learning for saccadic-based object visual search—0
Utilizing Skipped Frames in Action Repeats via Pseudo-Actions—0
V2I Connectivity-Based Dynamic Queue-Jump Lane for Emergency Vehicles: A Deep Reinforcement Learning Approach—0
Dynamic Queue-Jump Lane for Emergency Vehicles under Partially Connected Settings: A Multi-Agent Deep Reinforcement Learning Approach—0
V2N Service Scaling with Deep Reinforcement Learning—0
V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration—0
VAE for Modified 1-Hot Generative Materials Modeling, A Step Towards Inverse Material Design—0
Value-Added Chemical Discovery Using Reinforcement Learning—0
Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings—0
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning—0
Value function estimation using conditional diffusion models for control—0
Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep Reinforcement Learning Approach—0
Variance Reduced Domain Randomization for Policy Gradient—0
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines—0
Variational Autoencoders for exteroceptive perception in reinforcement learning-based collision avoidance—0
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning—0
Variational oracle guiding for reinforcement learning—0
Variational Quantum Soft Actor-Critic for Robotic Arm Control—0
Variations in Multi-Agent Actor-Critic Frameworks for Joint Optimizations in UAV Swarm Networks: Recent Evolution, Challenges, and Directions—0
VDSC: Enhancing Exploration Timing with Value Discrepancy and State Counts—0
Vehicle management in a modular production context using Deep Q-Learning—0
Vehicles Control: Collision Avoidance using Federated Deep Reinforcement Learning—0
Vehicle Tracking in Wireless Sensor Networks via Deep Reinforcement Learning—0
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