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 1726–1750 of 1918 papers

Title	Date	Tasks	Status
Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems	Jul 1, 2018	Multi-Armed BanditsQ-Learning	—Unverified
Many-Goals Reinforcement Learning	Jun 22, 2018	AllQ-Learning	—Unverified
Reinforcement Learning using Augmented Neural Networks	Jun 20, 2018	Q-Learningreinforcement-learning	—Unverified
Action Learning for 3D Point Cloud Based Organ Segmentation	Jun 14, 2018	Organ SegmentationQ-Learning	—Unverified
Automatic formation of the structure of abstract machines in hierarchical reinforcement learning with state clustering	Jun 13, 2018	ClusteringHierarchical Reinforcement Learning	—Unverified
Distributional Advantage Actor-Critic	Jun 10, 2018	Q-Learningquantile regression	—Unverified
Fidelity-based Probabilistic Q-learning for Control of Quantum Systems	Jun 8, 2018	Q-LearningReinforcement Learning	—Unverified
A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation	Jun 6, 2018	Q-LearningReinforcement Learning	—Unverified
Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning	Jun 1, 2018	Hyperparameter OptimizationObject Tracking	—Unverified
Depth and nonlinearity induce implicit exploration for RL	May 29, 2018	Q-Learningreinforcement-learning	—Unverified
Hierarchical clustering with deep Q-learning	May 28, 2018	ClusteringQ-Learning	—Unverified
Learning Self-Imitating Diverse Policies	May 25, 2018	continuous-controlContinuous Control	—Unverified
When Simple Exploration is Sample Efficient: Identifying Sufficient Conditions for Random Exploration to Yield PAC RL Algorithms	May 23, 2018	Efficient ExplorationQ-Learning	—Unverified
Learning Sampling Policies for Domain Adaptation	May 19, 2018	ClassificationDomain Adaptation	—Unverified
Algorithmic Trading with Fitted Q Iteration and Heston Model	May 18, 2018	Algorithmic TradingQ-Learning	—Unverified
GAN Q-learning	May 13, 2018	Distributional Reinforcement LearningOpenAI Gym	CodeCode Available
Stochastic Approximation for Risk-aware Markov Decision Processes	May 11, 2018	Q-Learning	—Unverified
Planning and Learning with Stochastic Action Sets	May 7, 2018	Q-LearningReinforcement Learning	—Unverified
A Hybrid Q-Learning Sine-Cosine-based Strategy for Addressing the Combinatorial Test Suite Minimization Problem	Apr 27, 2018	Q-Learning	—Unverified
Multiagent Soft Q-Learning	Apr 25, 2018	Policy Gradient MethodsQ-Learning	—Unverified
Benchmarking projective simulation in navigation problems	Apr 23, 2018	BenchmarkingQ-Learning	—Unverified
Towards Symbolic Reinforcement Learning with Common Sense	Apr 23, 2018	Common Sense ReasoningDeep Reinforcement Learning	CodeCode Available
State Distribution-aware Sampling for Deep Q-learning	Apr 23, 2018	Atari GamesOpenAI Gym	—Unverified
Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems	Apr 19, 2018	Q-LearningStochastic Optimization	CodeCode Available
Reinforced Co-Training	Apr 17, 2018	Clickbait DetectionGeneral Classification	—Unverified

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