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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

Showing 301350 of 1918 papers

TitleStatusHype
Bridging the Gap Between Target Networks and Functional RegularizationCode0
Dual Ensembled Multiagent Q-Learning with Hypernet RegularizerCode0
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement LearningCode0
Deterministic Implementations for Reproducibility in Deep Reinforcement LearningCode0
Designing Neural Network Architectures using Reinforcement LearningCode0
A Multi-Agent Multi-Environment Mixed Q-Learning for Partially Decentralized Wireless Network OptimizationCode0
Active inference: demystified and comparedCode0
BlockQNN: Efficient Block-wise Neural Network Architecture GenerationCode0
Double Q-PID algorithm for mobile robot controlCode0
Double Successive Over-Relaxation Q-Learning with an Extension to Deep Reinforcement LearningCode0
Diagnosing Bottlenecks in Deep Q-learning AlgorithmsCode0
DeepTPI: Test Point Insertion with Deep Reinforcement LearningCode0
Belief-Enriched Pessimistic Q-Learning against Adversarial State PerturbationsCode0
Boosting Soft Q-Learning by BoundingCode0
DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic NavigationCode0
Bootstrapped Meta-LearningCode0
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based GamesCode0
Efficient Model-free Reinforcement Learning in Metric SpacesCode0
Deep Reinforcement Learning for Traffic Light Control in Vehicular NetworksCode0
Deep reinforcement learning for time series: playing idealized trading gamesCode0
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy MethodsCode0
Deep Reinforcement Learning for Multi-class Imbalanced TrainingCode0
A Deep Q-Learning Agent for the L-Game with Variable Batch TrainingCode0
Deep Reinforcement Learning for Optimal Stopping with Application in Financial EngineeringCode0
Deep-Q Learning with Hybrid Quantum Neural Network on Solving Maze ProblemsCode0
Deep Reinforcement Learning Based Parameter Control in Differential EvolutionCode0
Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action TasksCode0
A Machine with Short-Term, Episodic, and Semantic Memory SystemsCode0
Generalized Speedy Q-learningCode0
Deep Reinforcement Learning for Control of Probabilistic Boolean NetworksCode0
An Empirical Study of Deep Reinforcement Learning in Continuing TasksCode0
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement LearningCode0
Goal Recognition as Reinforcement LearningCode0
Deep Reinforcement Learning Algorithms for Option HedgingCode0
Deep Reinforcement Learning for Imbalanced ClassificationCode0
Deep Reinforcement Learning with a Natural Language Action SpaceCode0
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge DistillationCode0
Heuristics, Answer Set Programming and Markov Decision Process for Solving a Set of Spatial PuzzlesCode0
Deep Q-Learning for Nash Equilibria: Nash-DQNCode0
Deep Q learning for fooling neural networksCode0
Deep Q-learning from DemonstrationsCode0
Implications of Decentralized Q-learning Resource Allocation in Wireless NetworksCode0
Increasing the Action Gap: New Operators for Reinforcement LearningCode0
Information-Directed Exploration for Deep Reinforcement LearningCode0
Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic EnvironmentsCode0
Policy Iterations for Reinforcement Learning Problems in Continuous Time and Space -- Fundamental Theory and MethodsCode0
Balancing Value Underestimation and Overestimation with Realistic Actor-CriticCode0
A Deep Learning Approach to Grasping the InvisibleCode0
Angrier Birds: Bayesian reinforcement learningCode0
Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion DetectionCode0
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