Who Cited It

Reinforcement Learning: An Introduction

2005 · IEEE Transactions on Neural Networks · 25,758 citations · 27 from inside this corpus

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Reinforcement Learning: An Introduction (2005)Reinforcement Learning: An In…Genetic algorithms in search, optimization, and machine learning (1989)Genetic algorithms in search,…Learning Internal Representations by Error Propagation (1985)Learning Internal Representat…Learning from Delayed Rewards (1989)Learning from Delayed RewardsSome Studies in Machine Learning Using the Game of Checkers (1959)Some Studies in Machine Learn…Learning to Predict by the Methods of Temporal Differences (1988)Learning to Predict by the Me…Dynamic Programming and Markov Processes. (1961)Dynamic Programming and Marko…Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks (1988)Radial Basis Functions, Multi…Learning Automata: An Introduction (1989)Learning Automata: An Introdu…Stochastic models for learning. (1955)Stochastic models for learnin…Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…Mastering the game of Go with deep neural networks and tree search (2016)Mastering the game of Go with…Mastering the game of Go without human knowledge (2017)Mastering the game of Go with…Graph neural networks: A review of methods and applications (2020)Graph neural networks: A revi…Playing Atari with Deep Reinforcement Learning (2013)Playing Atari with Deep Reinf…Learning Deep Architectures for AI (2009)Learning Deep Architectures f…Policy Gradient Methods for Reinforcement Learning with Function Approximation (1999)Policy Gradient Methods for R…Active Learning Literature Survey (2009)Active Learning Literature Su…Deep Reinforcement Learning: A Brief Survey (2017)Deep Reinforcement Learning: …Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu… (2022)Pre-train, Prompt, and Predic…Grandmaster level in StarCraft II using multi-agent reinforcement learning (2019)Grandmaster level in StarCraf…An Introduction to Support Vector Machines and Other Kernel‐based Learning Methods (2001)An Introduction to Support Ve…A survey of robot learning from demonstration (2008)A survey of robot learning fr…Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning (1999)Between MDPs and semi-MDPs: A…A Comprehensive Survey of Multiagent Reinforcement Learning (2008)A Comprehensive Survey of Mul…Ensemble deep learning: A review (2022)Ensemble deep learning: A rev…Opposition-Based Learning: A New Scheme for Machine Intelligence (2006)Opposition-Based Learning: A …A brief introduction to weakly supervised learning (2017)A brief introduction to weakl…Actor-critic algorithms (2002)Actor-critic algorithmsRainbow: Combining Improvements in Deep Reinforcement Learning (2018)Rainbow: Combining Improvemen…Deterministic Policy Gradient Algorithms (2014)Asynchronous Methods for Deep Reinforcement Learning (2016)How Can the Human Mind Occur in the Physical Universe? (2007)How Can the Human Mind Occur …Graph Neural Networks: A Review of Methods and Applications (2018)An Introduction to Multi-Agent Systems (2010)An Introduction to Multi-Agen…Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dyna… (1990)Integrated Architectures for …Mastering Atari, Go, chess and shogi by planning with a learned modelMastering Atari, Go, chess an…
36 of 36 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Genetic algorithms in search, optimization, and machine learning198949,344
Learning Internal Representations by Error Propagation198516,273
Learning from Delayed Rewards19895,473
Some Studies in Machine Learning Using the Game of Checkers19594,416
Learning to Predict by the Methods of Temporal Differences19883,970
Dynamic Programming and Markov Processes.19613,461
Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks19883,442
Learning Automata: An Introduction19891,561
Stochastic models for learning.19551,528

What cites it, inside the corpus

PaperYearCited
Deep learning in neural networks: An overview201418,236
Mastering the game of Go with deep neural networks and tree search201616,014
Mastering the game of Go without human knowledge20179,313
Graph neural networks: A review of methods and applications20205,808
Playing Atari with Deep Reinforcement Learning20135,104
Learning Deep Architectures for AI20095,077
Policy Gradient Methods for Reinforcement Learning with Function Approximation19994,966
Active Learning Literature Survey20094,788
Deep Reinforcement Learning: A Brief Survey20174,434
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…20223,836
Grandmaster level in StarCraft II using multi-agent reinforcement learning20193,508
An Introduction to Support Vector Machines and Other Kernel‐based Learning Methods20013,345
A survey of robot learning from demonstration20083,289
Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning19993,201
A Comprehensive Survey of Multiagent Reinforcement Learning20082,256
Ensemble deep learning: A review20222,136
Opposition-Based Learning: A New Scheme for Machine Intelligence20062,128
A brief introduction to weakly supervised learning20171,911
Actor-critic algorithms20021,818
Rainbow: Combining Improvements in Deep Reinforcement Learning20181,783
Deterministic Policy Gradient Algorithms20141,736
Asynchronous Methods for Deep Reinforcement Learning20161,689
How Can the Human Mind Occur in the Physical Universe?20071,497
Graph Neural Networks: A Review of Methods and Applications20181,448
An Introduction to Multi-Agent Systems20101,383
Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dyna…19901,375
Mastering Atari, Go, chess and shogi by planning with a learned model1,374

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Topics

Reinforcement Learning in RoboticsComputer Science
Data Stream Mining TechniquesComputer Science
Evolutionary Algorithms and ApplicationsComputer Science

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Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

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