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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 976–1000 of 1918 papers

TitleStatusHype
Empirical Q-Value Iteration—0
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL—0
Encoders and Decoders for Quantum Expander Codes Using Machine Learning—0
EnCoMP: Enhanced Covert Maneuver Planning with Adaptive Threat-Aware Visibility Estimation using Offline Reinforcement Learning—0
Energy and Service-priority aware Trajectory Design for UAV-BSs using Double Q-Learning—0
Energy-aware optimization of UAV base stations placement via decentralized multi-agent Q-learning—0
Energy Consumption and Battery Aging Minimization Using a Q-learning Strategy for a Battery/Ultracapacitor Electric Vehicle—0
Energy-Efficient Power Allocation and Q-Learning-Based Relay Selection for Relay-Aided D2D Communication—0
Energy Minimization in UAV-Aided Networks: Actor-Critic Learning for Constrained Scheduling Optimization—0
Energy Sharing for Multiple Sensor Nodes with Finite Buffers—0
Enhanced Deep Q-Learning for 2D Self-Driving Cars: Implementation and Evaluation on a Custom Track Environment—0
Enhanced Q-Learning Approach to Finite-Time Reachability with Maximum Probability for Probabilistic Boolean Control Networks—0
Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition—0
Enhancement of High-definition Map Update Service Through Coverage-aware and Reinforcement Learning—0
Enhancing Classification Performance via Reinforcement Learning for Feature Selection—0
Enhancing Q-Learning with Large Language Model Heuristics—0
Enhancing reinforcement learning by a finite reward response filter with a case study in intelligent structural control—0
Ensemble Bootstrapping for Q-Learning—0
Entropic Risk Optimization in Discounted MDPs: Sample Complexity Bounds with a Generative Model—0
Entropy-Augmented Entropy-Regularized Reinforcement Learning and a Continuous Path from Policy Gradient to Q-Learning—0
Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning—0
Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks—0
Equivalence Between Policy Gradients and Soft Q-Learning—0
Equivariant Offline Reinforcement Learning—0
Escaping the State of Nature: A Hobbesian Approach to Cooperation in Multi-agent Reinforcement Learning—0
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