Reinforcement Learning (computer Engineering) Publications

Publications in Reinforcement Learning (Computer Engineering)

Explore the most influential research papers and scholarly works that have shaped Reinforcement Learning (Computer Engineering). Use the concept filter below to focus on a specific sub-area of research.

Reinforcement Learning (Computer Engineering)

2.3K

Publications

145.3K

Citations

Showing yearly statistics from 2000-2026.

Page 1

	Year	Citations
Reinforcement Learning: A Survey Leslie Pack Kaelbling, Michael L. Littman, Andrew Moore Journal of Artificial Intelligence Research Artificial IntelligenceCognitive ScienceEngineeringMachine LearningReinforcement Learning (Computer Engineering)	1996	8.7K
A Comprehensive Survey of Multiagent Reinforcement Learning Lucian Buşoniu, Robert Babuška, Bart De Schutter IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) Artificial IntelligenceEngineeringMachine LearningAgent Decision-makingGame Theory	2008	2.1K
Sigmoid-weighted linear units for neural network function approximation in reinforcement learning Stefan Elfwing, Eiji Uchibe, Kenji Doya Neural Networks Artificial IntelligenceEngineeringMachine LearningNeural Networks (Machine Learning)Value Function Approximation	2018	1.8K
Self-improving reactive agents based on reinforcement learning, planning and teaching Long-Ji Lin Machine Learning Artificial IntelligenceEngineeringReinforcement Learning (Computer Engineering)Agent Decision-makingAutonomous Learning	1992	1.6K
A survey of deep learning techniques for autonomous driving Sorin Grigorescu, Bogdan Trăsnea, Tiberiu Cocias, Journal of Field Robotics Artificial IntelligenceEngineeringMachine LearningIntelligent RoboticsAutonomous Vehicle Navigation	2019	1.6K
Forward Models: Supervised Learning with a Distal Teacher Michael I. Jordan, David E. Rumelhart Cognitive Science Artificial IntelligenceIncremental LearningEngineeringMachine LearningNeural Networks (Machine Learning)	1992	1.5K
States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning Jan Gläscher, Nathaniel D. Daw, Peter Dayan, Neuron Cognitive ScienceModel-free LearningReinforcement Learning (Computer Engineering)Behavioral NeuroscienceComputational Neuroscience	2010	1.2K
Dota 2 with Large Scale Deep Reinforcement Learning arXiv (Cornell University) Artificial IntelligenceGame AiEngineeringMachine LearningGame Theory	2019	1K
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan Lowe arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningAgent Decision-makingGame Theory	2017	1K
Interactive machine learning for health informatics: when do we need the human-in-the-loop? Andreas Holzinger Brain Informatics Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolReinforcement Learning (Educational Psychology)	2016	835
On the Convergence of Stochastic Iterative Dynamic Programming Algorithms Tommi Jaakkola, Michael I. Jordan, Satinder Singh Neural Computation Mathematical ProgrammingArtificial IntelligenceEngineeringMachine LearningValue Function Approximation	1994	794
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine, Aviral Kumar, George Tucker, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningGame TheoryEducation	2020	789

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