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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 101–125 of 1918 papers

TitleStatusHype
Reinforcement Learning for Quantum Circuit Design: Using Matrix Representations—0
Music Generation using Human-In-The-Loop Reinforcement Learning—0
Coordinating Ride-Pooling with Public Transit using Reward-Guided Conservative Q-Learning: An Offline Training and Online Fine-Tuning Reinforcement Learning Framework—0
BMG-Q: Localized Bipartite Match Graph Attention Q-Learning for Ride-Pooling Order Dispatch—0
Random-Key Algorithms for Optimizing Integrated Operating Room Scheduling—0
SPEQ: Stabilization Phases for Efficient Q-Learning in High Update-To-Data Ratio Reinforcement Learning—0
Projection Implicit Q-Learning with Support Constraint for Offline Reinforcement Learning—0
Data-driven inventory management for new products: An adjusted Dyna-Q approach with transfer learning—0
Online inductive learning from answer sets for efficient reinforcement learning exploration—0
An Empirical Study of Deep Reinforcement Learning in Continuing TasksCode0
Cooperative Optimal Output Tracking for Discrete-Time Multiagent Systems: Stabilizing Policy Iteration Frameworks and Analysis—0
Deep Transfer Q-Learning for Offline Non-Stationary Reinforcement Learning—0
β-DQN: Improving Deep Q-Learning By Evolving the Behavior—0
Data-Based Efficient Off-Policy Stabilizing Optimal Control Algorithms for Discrete-Time Linear Systems via Damping Coefficients—0
Dynamic Optimization of Storage Systems Using Reinforcement Learning Techniques—0
Protein Structure Prediction in the 3D HP Model Using Deep Reinforcement Learning—0
A Reinforcement Learning-Based Task Mapping Method to Improve the Reliability of Clustered Manycores—0
HyperQ-Opt: Q-learning for Hyperparameter Optimization—0
Multi-Agent Q-Learning for Real-Time Load Balancing User Association and Handover in Mobile Networks—0
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning—0
Decoding fairness: a reinforcement learning perspectiveCode0
MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal ControlCode0
Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework—0
Neural-Network-Driven Reward Prediction as a Heuristic: Advancing Q-Learning for Mobile Robot Path Planning—0
PickLLM: Context-Aware RL-Assisted Large Language Model Routing—0
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