SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

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
A Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in Roundabouts—0
Deep Reinforcement Multi-agent Learning framework for Information Gathering with Local Gaussian Processes for Water Monitoring—0
Deep Reinforcement Learning with Weighted Q-Learning—0
Avoiding Catastrophic States with Intrinsic Fear—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
Coverage-aware and Reinforcement Learning Using Multi-agent Approach for HD Map QoS in a Realistic Environment—0
Implicit Constraint-Aware Off-Policy Correction for Offline Reinforcement Learning—0
Improved Q-learning based Multi-hop Routing for UAV-Assisted Communication—0
Credit-cognisant reinforcement learning for multi-agent cooperation—0
Improve Value Estimation of Q Function and Reshape Reward with Monte Carlo Tree Search—0
Criticality-Based Varying Step-Number Algorithm for Reinforcement Learning—0
Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons—0
Deep Reinforcement Learning with Spiking Q-learning—0
Improving Search through A3C Reinforcement Learning based Conversational Agent—0
Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise—0
I'm sorry Dave, I'm afraid I can't do that, Deep Q-learning from forbidden action—0
Autonomous Warehouse Robot using Deep Q-Learning—0
Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle—0
Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning—0
Cycles and collusion in congestion games under Q-learning—0
Joint User Association, Interference Cancellation and Power Control for Multi-IRS Assisted UAV Communications—0
Information Theoretic Model Predictive Q-Learning—0
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation—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
Data-Driven H-infinity Control with a Real-Time and Efficient Reinforcement Learning Algorithm: An Application to Autonomous Mobility-on-Demand Systems—0
A Reinforcement Learning Approach to Target Tracking in a Camera Network—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
Integrating Deep Learning and Augmented Reality to Enhance Situational Awareness in Firefighting Environments—0
Intelligent Agricultural Management Considering N_2O Emission and Climate Variability with Uncertainties—0
Intelligent Autonomous Intersection Management—0
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control—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
Deep Reinforcement Learning with Discrete Normalized Advantage Functions for Resource Management in Network Slicing—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
Deep reinforcement learning with automated label extraction from clinical reports accurately classifies 3D MRI brain volumes—0
Show:102550
← PrevPage 18 of 39Next →

No leaderboard results yet.