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 1051–1075 of 1918 papers

TitleStatusHype
Smooth Q-learning: Accelerate Convergence of Q-learning Using Similarity—0
Design and Comparison of Reward Functions in Reinforcement Learning for Energy Management of Sensor Nodes—0
Energy-aware optimization of UAV base stations placement via decentralized multi-agent Q-learning—0
A reinforcement learning approach to improve communication performance and energy utilization in fog-based IoT—0
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-LearningCode1
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model—0
Reputation Bootstrapping for Composite Services using CP-nets—0
A Comparison of Reward Functions in Q-Learning Applied to a Cart Position ProblemCode0
Verification of Dissipativity and Evaluation of Storage Function in Economic Nonlinear MPC using Q-Learning—0
Online Adaptive Optimal Control Algorithm Based on Synchronous Integral Reinforcement Learning With Explorations—0
Deep Reinforcement Learning for Optimal Stopping with Application in Financial EngineeringCode0
Reinforcement Learning With Sparse-Executing Actions via Sparsity Regularization—0
Uncertainty Weighted Actor-Critic for Offline Reinforcement LearningCode1
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare—0
Efficient Off-Policy Q-Learning for Data-Based Discrete-Time LQR Problems—0
Interpretable performance analysis towards offline reinforcement learning: A dataset perspective—0
Fast constraint satisfaction problem and learning-based algorithm for solving Minesweeper—0
Reinforcement Learning with Expert Trajectory For Quantitative Trading—0
Survey on Multi-Agent Q-Learning frameworks for resource management in wireless sensor network—0
HASCO: Towards Agile HArdware and Software CO-design for Tensor ComputationCode1
Robotic Surgery With Lean Reinforcement LearningCode0
Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action TasksCode0
CARL-DTN: Context Adaptive Reinforcement Learning based Routing Algorithm in Delay Tolerant Network—0
RP-DQN: An application of Q-Learning to Vehicle Routing Problems—0
Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks—0
Show:102550
← PrevPage 43 of 77Next →

No leaderboard results yet.