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 1776–1800 of 1918 papers

Title	Date	Tasks	Status
Goal-Conditioned Q-Learning as Knowledge Distillation	Aug 28, 2022	Knowledge DistillationQ-Learning	CodeCode Available
Reward Delay Attacks on Deep Reinforcement Learning	Sep 8, 2022	Deep Reinforcement LearningQ-Learning	CodeCode Available
Goal Recognition as Reinforcement Learning	Feb 13, 2022	Q-Learningreinforcement-learning	CodeCode Available
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective	Jun 29, 2023	Feature EngineeringQ-Learning	CodeCode Available
DeepTPI: Test Point Insertion with Deep Reinforcement Learning	Jun 7, 2022	Deep Reinforcement LearningGraph Neural Network	CodeCode Available
Composable Deep Reinforcement Learning for Robotic Manipulation	Mar 19, 2018	Deep Reinforcement LearningQ-Learning	CodeCode Available
Graph Backup: Data Efficient Backup Exploiting Markovian Transitions	May 31, 2022	Atari Gamescounterfactual	CodeCode Available
Automata Learning meets Shielding	Dec 4, 2022	Q-LearningReinforcement Learning (RL)	CodeCode Available
Dynamic-Weighted Simplex Strategy for Learning Enabled Cyber Physical Systems	Feb 6, 2019	Autonomous DrivingQ-Learning	CodeCode Available
Momentum-based Accelerated Q-learning	Oct 23, 2019	Atari GamesQ-Learning	CodeCode Available
SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning	Feb 20, 2024	Imitation LearningQ-Learning	CodeCode Available
Monte Carlo Q-learning for General Game Playing	Feb 16, 2018	Board GamesQ-Learning	CodeCode Available
Deep Coordination Graphs	Sep 27, 2019	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available
Group Equivariant Deep Reinforcement Learning	Jul 1, 2020	Deep Reinforcement LearningInductive Bias	CodeCode Available
Autoequivariant Network Search via Group Decomposition	Apr 10, 2021	Inductive BiasNeural Architecture Search	CodeCode Available
Multi-Agent Advisor Q-Learning	Oct 26, 2021	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available
Action Candidate Driven Clipped Double Q-learning for Discrete and Continuous Action Tasks	Mar 22, 2022	Q-Learning	CodeCode Available
Playing 2048 With Reinforcement Learning	Oct 20, 2021	Playing the Game of 2048Q-Learning	CodeCode Available
Deep Active Inference for Pixel-Based Discrete Control: Evaluation on the Car Racing Problem	Sep 9, 2021	Car RacingQ-Learning	CodeCode Available
Deep Reinforcement Learning with a Natural Language Action Space	Nov 14, 2015	Deep Reinforcement LearningQ-Learning	CodeCode Available
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL	Jul 20, 2024	Few-Shot Text ClassificationQ-Learning	CodeCode Available
Decoding fairness: a reinforcement learning perspective	Dec 20, 2024	FairnessImitation Learning	CodeCode Available
Deep-Q Learning with Hybrid Quantum Neural Network on Solving Maze Problems	Apr 20, 2023	Q-Learningreinforcement-learning	CodeCode Available
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks	Aug 1, 2018	Deep Reinforcement LearningQ-Learning	CodeCode Available
Traffic Light Control with Reinforcement Learning	Aug 28, 2023	Q-Learningreinforcement-learning	CodeCode Available

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