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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 1826–1850 of 1918 papers

Title	Date	Tasks	Status	Hype
A Comparison of Reinforcement Learning Techniques for Fuzzy Cloud Auto-Scaling	May 19, 2017	ManagementQ-Learning	—Unverified	0
Identification and Off-Policy Learning of Multiple Objectives Using Adaptive Clustering	May 17, 2017	ClusteringQ-Learning	—Unverified	0
Learning to Represent Haptic Feedback for Partially-Observable Tasks	May 17, 2017	Q-Learning	—Unverified	0
Learning Hard Alignments with Variational Inference	May 16, 2017	Hard AttentionImage Captioning	—Unverified	0
Discrete Sequential Prediction of Continuous Actions for Deep RL	May 14, 2017	continuous-controlContinuous Control	—Unverified	0
Policy Iterations for Reinforcement Learning Problems in Continuous Time and Space -- Fundamental Theory and Methods	May 9, 2017	Decision MakingQ-Learning	CodeCode Available	0
Deep Episodic Value Iteration for Model-based Meta-Reinforcement Learning	May 9, 2017	Meta Reinforcement LearningModel-based Reinforcement Learning	—Unverified	0
Equivalence Between Policy Gradients and Soft Q-Learning	Apr 21, 2017	Policy Gradient MethodsQ-Learning	—Unverified	0
Reinforcement Learning with External Knowledge and Two-Stage Q-functions for Predicting Popular Reddit Threads	Apr 20, 2017	Q-Learningreinforcement-learning	—Unverified	0
Deep Q-learning from Demonstrations	Apr 12, 2017	Decision MakingDeep Reinforcement Learning	CodeCode Available	0
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation	Apr 10, 2017	continuous-controlContinuous Control	—Unverified	0
Pseudorehearsal in value function approximation	Mar 21, 2017	Q-Learningreinforcement-learning	—Unverified	0
Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing	Mar 17, 2017	Edge-computingManagement	—Unverified	0
Evolution Strategies as a Scalable Alternative to Reinforcement Learning	Mar 10, 2017	Atari GamesMuJoCo	CodeCode Available	1
Multi-step Reinforcement Learning: A Unifying Algorithm	Mar 3, 2017	Q-Learningreinforcement-learning	—Unverified	0
Bridging the Gap Between Value and Policy Based Reinforcement Learning	Feb 28, 2017	Q-Learningreinforcement-learning	—Unverified	0
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning	Feb 28, 2017	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1
Reinforcement Learning with Deep Energy-Based Policies	Feb 27, 2017	Q-Learningreinforcement-learning	CodeCode Available	0
Learning Control for Air Hockey Striking using Deep Reinforcement Learning	Feb 26, 2017	Deep Reinforcement LearningQ-Learning	—Unverified	0
Collaborative Deep Reinforcement Learning for Joint Object Search	Feb 18, 2017	Active Object LocalizationDeep Reinforcement Learning	—Unverified	0
The Game Imitation: Deep Supervised Convolutional Networks for Quick Video Game AI	Feb 18, 2017	Decision MakingImitation Learning	—Unverified	0
FPGA Architecture for Deep Learning and its application to Planetary Robotics	Jan 26, 2017	CPUQ-Learning	—Unverified	0
Learning to predict where to look in interactive environments using deep recurrent q-learning	Dec 17, 2016	Atari GamesQ-Learning	—Unverified	0
Playing Doom with SLAM-Augmented Deep Reinforcement Learning	Dec 1, 2016	Deep Reinforcement Learningobject-detection	CodeCode Available	0
Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic	Nov 7, 2016	continuous-controlContinuous Control	CodeCode Available	0

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