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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 776–800 of 1918 papers

Title	Date	Tasks	Status	Hype
Interactive Learning from Natural Language and Demonstrations using Signal Temporal Logic	Jul 1, 2022	Formal LogicQ-Learning	—Unverified	0
On the Learning and Learnability of Quasimetrics	Jun 30, 2022	Q-LearningReinforcement Learning (RL)	CodeCode Available	1
Predicting the Need for Blood Transfusion in Intensive Care Units with Reinforcement Learning	Jun 26, 2022	Decision MakingQ-Learning	—Unverified	0
Reinforcement Learning under Partial Observability Guided by Learned Environment Models	Jun 23, 2022	Q-Learningreinforcement-learning	—Unverified	0
Recursive Reinforcement Learning	Jun 23, 2022	IngenuityQ-Learning	—Unverified	0
Federated Stochastic Approximation under Markov Noise and Heterogeneity: Applications in Reinforcement Learning	Jun 21, 2022	Q-Learningreinforcement-learning	—Unverified	0
The Integration of Machine Learning into Automated Test Generation: A Systematic Mapping Study	Jun 21, 2022	BIG-bench Machine LearningQ-Learning	—Unverified	0
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer	Jun 20, 2022	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1
Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration	Jun 20, 2022	Atari GamesDeep Reinforcement Learning	CodeCode Available	1
A Search-Based Testing Approach for Deep Reinforcement Learning Agents	Jun 15, 2022	Autonomous DrivingDecision Making	CodeCode Available	1
Visual Radial Basis Q-Network	Jun 14, 2022	Q-LearningReinforcement Learning (RL)	—Unverified	0
RL-GA: A Reinforcement Learning-Based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem	Jun 12, 2022	Q-Learningreinforcement-learning	—Unverified	0
Cooperation between Independent Market Makers	Jun 11, 2022	Q-Learning	CodeCode Available	0
Mildly Conservative Q-Learning for Offline Reinforcement Learning	Jun 9, 2022	D4RLQ-Learning	CodeCode Available	1
An Optimization Method-Assisted Ensemble Deep Reinforcement Learning Algorithm to Solve Unit Commitment Problems	Jun 9, 2022	Deep Reinforcement LearningQ-Learning	—Unverified	0
A Study of Continual Learning Methods for Q-Learning	Jun 8, 2022	Continual LearningQ-Learning	—Unverified	0
DeepTPI: Test Point Insertion with Deep Reinforcement Learning	Jun 7, 2022	Deep Reinforcement LearningGraph Neural Network	CodeCode Available	0
Introspective Experience Replay: Look Back When Surprised	Jun 7, 2022	Q-Learningreinforcement-learning	CodeCode Available	0
Concentration bounds for SSP Q-learning for average cost MDPs	Jun 7, 2022	Q-Learning	—Unverified	0
Balancing Profit, Risk, and Sustainability for Portfolio Management	Jun 6, 2022	ManagementPortfolio Optimization	—Unverified	0
DDPG based on multi-scale strokes for financial time series trading strategy	Jun 5, 2022	Deep Reinforcement LearningQ-Learning	—Unverified	0
Offline RL for Natural Language Generation with Implicit Language Q Learning	Jun 5, 2022	Language ModellingOffline RL	CodeCode Available	2
Stabilizing Q-learning with Linear Architectures for Provably Efficient Learning	Jun 1, 2022	Q-Learning	—Unverified	0
CoNSoLe: Convex Neural Symbolic Learning	Jun 1, 2022	Q-Learning	—Unverified	0
Graph Backup: Data Efficient Backup Exploiting Markovian Transitions	May 31, 2022	Atari Gamescounterfactual	CodeCode Available	0

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