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Q-Learning

The goal of Q-learning is to learn a policy, which tells an agent what action to take under what circumstances.

( Image credit: Playing Atari with Deep Reinforcement Learning )

Papers

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Showing 851–900 of 1918 papers

TitleStatusHype
Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning—0
HyperQ-Opt: Q-learning for Hyperparameter Optimization—0
Action Learning for 3D Point Cloud Based Organ Segmentation—0
Enhanced Deep Q-Learning for 2D Self-Driving Cars: Implementation and Evaluation on a Custom Track Environment—0
Energy Sharing for Multiple Sensor Nodes with Finite Buffers—0
Cell Switching in HAPS-Aided Networking: How the Obscurity of Traffic Loads Affects the Decision—0
Imagination-Limited Q-Learning for Offline Reinforcement Learning—0
Imitating Language via Scalable Inverse Reinforcement Learning—0
Implementing Inductive bias for different navigation tasks through diverse RNN attrractors—0
Energy Minimization in UAV-Aided Networks: Actor-Critic Learning for Constrained Scheduling Optimization—0
Implicit Constraint-Aware Off-Policy Correction for Offline Reinforcement Learning—0
Improved Q-learning based Multi-hop Routing for UAV-Assisted Communication—0
Energy-Efficient Power Allocation and Q-Learning-Based Relay Selection for Relay-Aided D2D Communication—0
Improve Value Estimation of Q Function and Reshape Reward with Monte Carlo Tree Search—0
A new convergent variant of Q-learning with linear function approximation—0
Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons—0
Energy Consumption and Battery Aging Minimization Using a Q-learning Strategy for a Battery/Ultracapacitor Electric Vehicle—0
Improving Search through A3C Reinforcement Learning based Conversational Agent—0
Causal Mean Field Multi-Agent Reinforcement Learning—0
I'm sorry Dave, I'm afraid I can't do that, Deep Q-learning from forbidden action—0
Energy-aware optimization of UAV base stations placement via decentralized multi-agent Q-learning—0
Energy and Service-priority aware Trajectory Design for UAV-BSs using Double Q-Learning—0
Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning—0
Causal Deep Reinforcement Learning Using Observational Data—0
A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward—0
Information Theoretic Model Predictive Q-Learning—0
A Deep Reinforcement Learning Approach to Battery Management in Dairy Farming via Proximal Policy Optimization—0
In Hindsight: A Smooth Reward for Steady Exploration—0
In Search for Architectures and Loss Functions in Multi-Objective Reinforcement Learning—0
Instance-optimality in optimal value estimation: Adaptivity via variance-reduced Q-learning—0
EnCoMP: Enhanced Covert Maneuver Planning with Adaptive Threat-Aware Visibility Estimation using Offline Reinforcement Learning—0
Encoders and Decoders for Quantum Expander Codes Using Machine Learning—0
Integrated Freeway Traffic Control Using Q-Learning with Adjacent Arterial Traffic Considerations—0
Integrated Sensing and Communication Neighbor Discovery for MANET with Gossip Mechanism—0
Integrated trucks assignment and scheduling problem with mixed service mode docks: A Q-learning based adaptive large neighborhood search algorithm—0
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments—0
Catch Me If You Can: Improving Adversaries in Cyber-Security With Q-Learning Algorithms—0
Intelligent Agricultural Management Considering N_2O Emission and Climate Variability with Uncertainties—0
Intelligent Autonomous Intersection Management—0
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL—0
Intelligent O-RAN Traffic Steering for URLLC Through Deep Reinforcement Learning—0
Intelligent Querying for Target Tracking in Camera Networks using Deep Q-Learning with n-Step Bootstrapping—0
Interactive Double Deep Q-network: Integrating Human Interventions and Evaluative Predictions in Reinforcement Learning of Autonomous Driving—0
Interactive Learning from Natural Language and Demonstrations using Signal Temporal Logic—0
Empirical Q-Value Iteration—0
Internet of Things Applications: Animal Monitoring with Unmanned Aerial Vehicle—0
Deep Constrained Q-learning—0
Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders—0
Interpretable performance analysis towards offline reinforcement learning: A dataset perspective—0
An Evolutionary Framework for Connect-4 as Test-Bed for Comparison of Advanced Minimax, Q-Learning and MCTS—0
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