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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 1676–1700 of 1918 papers

Title	Date	Tasks	Status	Hype
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks	Oct 6, 2018	AllMontezuma's Revenge	CodeCode Available	0
Deep Quality-Value (DQV) Learning	Sep 30, 2018	Atari GamesDeep Reinforcement Learning	CodeCode Available	0
Reinforcement Learning in R	Sep 29, 2018	Q-Learningreinforcement-learning	—Unverified	0
Hybrid Policies Using Inverse Rewards for Reinforcement Learning	Sep 27, 2018	OpenAI GymQ-Learning	—Unverified	0
What Would pi* Do?: Imitation Learning via Off-Policy Reinforcement Learning	Sep 27, 2018	Imitation LearningQ-Learning	—Unverified	0
Accelerated Value Iteration via Anderson Mixing	Sep 27, 2018	Atari GamesQ-Learning	—Unverified	0
Convergent Reinforcement Learning with Function Approximation: A Bilevel Optimization Perspective	Sep 27, 2018	Bilevel OptimizationQ-Learning	—Unverified	0
A Convergent Variant of the Boltzmann Softmax Operator in Reinforcement Learning	Sep 27, 2018	Atari GamesQ-Learning	—Unverified	0
The wisdom of the crowd: reliable deep reinforcement learning through ensembles of Q-functions	Sep 27, 2018	Deep Reinforcement LearningPolicy Gradient Methods	—Unverified	0
Learning through Probing: a decentralized reinforcement learning architecture for social dilemmas	Sep 26, 2018	Deep Reinforcement LearningMulti-agent Reinforcement Learning	—Unverified	0
Floyd-Warshall Reinforcement Learning: Learning from Past Experiences to Reach New Goals	Sep 25, 2018	Q-Learningreinforcement-learning	—Unverified	0
Target Transfer Q-Learning and Its Convergence Analysis	Sep 21, 2018	Q-LearningReinforcement Learning	—Unverified	0
Model-Free Adaptive Optimal Control of Episodic Fixed-Horizon Manufacturing Processes using Reinforcement Learning	Sep 18, 2018	Model Predictive ControlQ-Learning	CodeCode Available	0
Hidden Markov Model Estimation-Based Q-learning for Partially Observable Markov Decision Process	Sep 17, 2018	Q-Learning	—Unverified	0
Optimal Matrix Momentum Stochastic Approximation and Applications to Q-learning	Sep 17, 2018	Q-LearningReinforcement Learning	—Unverified	0
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning	Sep 15, 2018	Deep Reinforcement LearningQ-Learning	CodeCode Available	0
Sampled Policy Gradient for Learning to Play the Game Agar.io	Sep 15, 2018	Game DesignQ-Learning	CodeCode Available	0
Towards Better Interpretability in Deep Q-Networks	Sep 15, 2018	Deep Reinforcement LearningQ-Learning	CodeCode Available	0
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning	Sep 13, 2018	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1
Directed Exploration in PAC Model-Free Reinforcement Learning	Aug 31, 2018	Efficient Explorationmodel	—Unverified	0
MARL-FWC: Optimal Coordination of Freeway Traffic Control Measures	Aug 27, 2018	Multi-agent Reinforcement LearningQ-Learning	—Unverified	0
BlockQNN: Efficient Block-wise Neural Network Architecture Generation	Aug 16, 2018	GPUimage-classification	CodeCode Available	0
Automatic Derivation Of Formulas Using Reforcement Learning	Aug 15, 2018	Q-Learning	—Unverified	0
A Framework for Automated Cellular Network Tuning with Reinforcement Learning	Aug 13, 2018	ManagementQ-Learning	CodeCode Available	0
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks	Aug 1, 2018	Deep Reinforcement LearningQ-Learning	CodeCode Available	0

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