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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 601–650 of 1918 papers

TitleStatusHype
Applying Reinforcement Learning to Option Pricing and Hedging—0
Optimal Control of District Cooling Energy Plant with Reinforcement Learning and MPC—0
A Deep Reinforcement Learning Approach for Interactive Search with Sentence-level Feedback—0
Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation—0
Using Reinforcement Learning to Optimize Responses in Care Processes: A Case Study on Aggression Incidents—0
Pre-training with Synthetic Data Helps Offline Reinforcement LearningCode0
Reinforcement learning adaptive fuzzy controller for lighting systems: application to aircraft cabin—0
Multi-Bellman operator for convergence of Q-learning with linear function approximation—0
Decoding trust: A reinforcement learning perspective—0
Adapting Double Q-Learning for Continuous Reinforcement Learning—0
UAV Swarm Deployment and Trajectory for 3D Area Coverage via Reinforcement Learning—0
Adaptive Multi-Agent Deep Reinforcement Learning for Timely Healthcare Interventions—0
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning—0
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions—0
Double Deep Q-Learning-based Path Selection and Service Placement for Latency-Sensitive Beyond 5G Applications—0
Self-Sustaining Multiple Access with Continual Deep Reinforcement Learning for Dynamic Metaverse Applications—0
Data-Driven H-infinity Control with a Real-Time and Efficient Reinforcement Learning Algorithm: An Application to Autonomous Mobility-on-Demand Systems—0
Harnessing Deep Q-Learning for Enhanced Statistical Arbitrage in High-Frequency Trading: A Comprehensive Exploration—0
Dynamic control of self-assembly of quasicrystalline structures through reinforcement learningCode0
A Q-learning Approach for Adherence-Aware Recommendations—0
Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach—0
Convex Q Learning in a Stochastic Environment: Extended Version—0
Multi Agent DeepRL based Joint Power and Subchannel Allocation in IAB networks—0
Physics-Based Trajectory Design for Cellular-Connected UAV in Rainy Environments Based on Deep Reinforcement Learning—0
Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic ArmCode0
Reinforcement Learning for Sampling on Temporal Medical Imaging SequencesCode0
Traffic Light Control with Reinforcement LearningCode0
Actuator Trajectory Planning for UAVs with Overhead Manipulator using Reinforcement Learning—0
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of HanabiCode0
Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games—0
Reinforcement Learning for Battery Management in Dairy Farming—0
On-demand Cold Start Frequency Reduction with Off-Policy Reinforcement Learning in Serverless Computing—0
A Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control—0
Variations on the Reinforcement Learning performance of BlackjackCode0
Deep Q-Network for Stochastic Process Environments—0
Unsynchronized Decentralized Q-Learning: Two Timescale Analysis By Persistence—0
Minimax Optimal Q Learning with Nearest Neighbors—0
Stability of Multi-Agent Learning: Convergence in Network Games with Many Players—0
Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel SimulationCode0
Adversarial Agents For Attacking Inaudible Voice Activated Devices—0
A Flexible Framework for Incorporating Patient Preferences Into Q-Learning—0
Exploring reinforcement learning techniques for discrete and continuous control tasks in the MuJoCo environmentCode0
Distributed 3D-Beam Reforming for Hovering-Tolerant UAVs Communication over Coexistence: A Deep-Q Learning for Intelligent Space-Air-Ground Integrated Networks—0
Meta-Value Learning: a General Framework for Learning with Learning AwarenessCode0
Credit Assignment: Challenges and Opportunities in Developing Human-like AI Agents—0
Deep reinforcement learning for the dynamic vehicle dispatching problem: An event-based approach—0
Realtime Spectrum Monitoring via Reinforcement Learning -- A Comparison Between Q-Learning and Heuristic Methods—0
Investigating the Edge of Stability Phenomenon in Reinforcement Learning—0
The Value of Chess Squares—0
Active Collection of Well-Being and Health Data in Mobile DevicesCode0
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