SOTAVerified|Agents Browse Leaderboard About

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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 1701–1725 of 1918 papers

Title	Date	Tasks	Status	Hype
Robbins-Monro conditions for persistent exploration learning strategies	Aug 1, 2018	Q-Learning	—Unverified	0
A Reinforcement Learning Approach to Target Tracking in a Camera Network	Jul 26, 2018	Q-Learningreinforcement-learning	—Unverified	0
Variational Bayesian Reinforcement Learning with Regret Bounds	Jul 25, 2018	Q-Learningreinforcement-learning	—Unverified	0
Accelerated Structure-Aware Reinforcement Learning for Delay-Sensitive Energy Harvesting Wireless Sensors	Jul 22, 2018	Q-Learningreinforcement-learning	—Unverified	0
Remember and Forget for Experience Replay	Jul 16, 2018	Deep Reinforcement LearningPolicy Gradient Methods	CodeCode Available	0
Discrete linear-complexity reinforcement learning in continuous action spaces for Q-learning algorithms	Jul 16, 2018	Q-Learningreinforcement-learning	—Unverified	0
Is Q-learning Provably Efficient?	Jul 10, 2018	Q-LearningReinforcement Learning	CodeCode Available	1
Video Summarisation by Classification with Deep Reinforcement Learning	Jul 9, 2018	ClassificationDecision Making	—Unverified	0
Playing against Nature: causal discovery for decision making under uncertainty	Jul 3, 2018	Causal DiscoveryDecision Making	—Unverified	0
Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems	Jul 1, 2018	Multi-Armed BanditsQ-Learning	—Unverified	0
Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning	Jul 1, 2018	Hierarchical Reinforcement LearningQ-Learning	CodeCode Available	0
Learning to Explore via Meta-Policy Gradient	Jul 1, 2018	continuous-controlContinuous Control	—Unverified	0
Many-Goals Reinforcement Learning	Jun 22, 2018	AllQ-Learning	—Unverified	0
Reinforcement Learning using Augmented Neural Networks	Jun 20, 2018	Q-Learningreinforcement-learning	—Unverified	0
Action Learning for 3D Point Cloud Based Organ Segmentation	Jun 14, 2018	Organ SegmentationQ-Learning	—Unverified	0
Automatic formation of the structure of abstract machines in hierarchical reinforcement learning with state clustering	Jun 13, 2018	ClusteringHierarchical Reinforcement Learning	—Unverified	0
Distributional Advantage Actor-Critic	Jun 10, 2018	Q-Learningquantile regression	—Unverified	0
Fidelity-based Probabilistic Q-learning for Control of Quantum Systems	Jun 8, 2018	Q-LearningReinforcement Learning	—Unverified	0
A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation	Jun 6, 2018	Q-LearningReinforcement Learning	—Unverified	0
Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning	Jun 1, 2018	Hyperparameter OptimizationObject Tracking	—Unverified	0
Depth and nonlinearity induce implicit exploration for RL	May 29, 2018	Q-Learningreinforcement-learning	—Unverified	0
Hierarchical clustering with deep Q-learning	May 28, 2018	ClusteringQ-Learning	—Unverified	0
Learning Self-Imitating Diverse Policies	May 25, 2018	continuous-controlContinuous Control	—Unverified	0
When Simple Exploration is Sample Efficient: Identifying Sufficient Conditions for Random Exploration to Yield PAC RL Algorithms	May 23, 2018	Efficient ExplorationQ-Learning	—Unverified	0
Learning Sampling Policies for Domain Adaptation	May 19, 2018	ClassificationDomain Adaptation	—Unverified	0

Show:10 25 50

← PrevPage 69 of 77Next →

No leaderboard results yet.