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 1351–1375 of 1918 papers

Title	Date	Tasks	Status	Hype
Show Us the Way: Learning to Manage Dialog from Demonstrations	Apr 17, 2020	dialog state trackingManagement	—Unverified	0
K-spin Hamiltonian for quantum-resolvable Markov decision processes	Apr 13, 2020	Q-LearningReinforcement Learning	—Unverified	0
Self Punishment and Reward Backfill for Deep Q-Learning	Apr 10, 2020	Atari GamesDeep Reinforcement Learning	CodeCode Available	0
Zero-Shot Learning of Text Adventure Games with Sentence-Level Semantics	Apr 6, 2020	ClusteringQ-Learning	—Unverified	0
Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing	Apr 5, 2020	Cloud ComputingDistributed Computing	—Unverified	0
Minimizing Age-of-Information for Fog Computing-supported Vehicular Networks with Deep Q-learning	Apr 4, 2020	Autonomous DrivingQ-Learning	—Unverified	0
Reinforcement Learning for Mixed-Integer Problems Based on MPC	Apr 3, 2020	Model Predictive ControlQ-Learning	—Unverified	0
Safe Reinforcement Learning via Projection on a Safe Set: How to Achieve Optimality?	Apr 2, 2020	Policy Gradient MethodsQ-Learning	—Unverified	0
Statistically Model Checking PCTL Specifications on Markov Decision Processes via Reinforcement Learning	Apr 1, 2020	NegationQ-Learning	—Unverified	0
Augmented Q Imitation Learning (AQIL)	Mar 31, 2020	Deep Reinforcement LearningImitation Learning	CodeCode Available	0
Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition	Mar 31, 2020	Q-LearningReinforcement Learning	—Unverified	0
Learning medical triage from clinicians using Deep Q-Learning	Mar 28, 2020	Decision MakingDeep Reinforcement Learning	—Unverified	0
Robust Q-learning	Mar 27, 2020	Q-Learningregression	—Unverified	0
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms	Mar 27, 2020	Q-Learningreinforcement-learning	—Unverified	0
Convergence of Recursive Stochastic Algorithms using Wasserstein Divergence	Mar 25, 2020	Q-LearningReinforcement Learning	—Unverified	0
Q-Learning in Regularized Mean-field Games	Mar 24, 2020	Q-Learningreinforcement-learning	—Unverified	0
Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments	Mar 23, 2020	Decision MakingDeep Reinforcement Learning	CodeCode Available	1
Distributed Reinforcement Learning for Cooperative Multi-Robot Object Manipulation	Mar 21, 2020	ObjectQ-Learning	—Unverified	0
FlapAI Bird: Training an Agent to Play Flappy Bird Using Reinforcement Learning Techniques	Mar 21, 2020	Q-Learningreinforcement-learning	CodeCode Available	1
Deep Constrained Q-learning	Mar 20, 2020	Autonomous DrivingDecision Making	—Unverified	0
Deep Reinforcement Learning with Weighted Q-Learning	Mar 20, 2020	Deep Reinforcement LearningGaussian Processes	—Unverified	0
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction	Mar 16, 2020	Deep Reinforcement LearningMeta-Learning	CodeCode Available	1
Active Perception and Representation for Robotic Manipulation	Mar 15, 2020	Q-LearningReinforcement Learning	—Unverified	0
FACMAC: Factored Multi-Agent Centralised Policy Gradients	Mar 14, 2020	MuJoCoMulti-agent Reinforcement Learning	CodeCode Available	1
Application of Deep Q-Network in Portfolio Management	Mar 13, 2020	Deep Reinforcement LearningFace Recognition	—Unverified	0

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