Who Cited It

Transfer Learning for Reinforcement Learning Domains: A Survey

2009 · Journal of Machine Learning Research · 1,564 citations · 5 from inside this corpus

Matthew E. Taylor, Peter Stone

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Transfer Learning for Reinforcement Learning Domains: A Survey (2009)Transfer Learning for Reinfor…Reinforcement Learning: A Survey (1996)Reinforcement Learning: A Sur…Markov Decision Processes: Discrete Stochastic Dynamic Programming. (1995)Markov Decision Processes: Di…Simple statistical gradient-following algorithms for connectionist reinforcement learning (1992)Simple statistical gradient-f…Introduction to Reinforcement Learning (1998)Introduction to Reinforcement…Multitask Learning (1997)Multitask LearningCase-Based Reasoning: Foundational Issues, Methodological Variations, and System Approach… (1994)Case-Based Reasoning: Foundat…Learning from Delayed Rewards (1989)Learning from Delayed RewardsLearning to Predict by the Methods of Temporal Differences (1988)Learning to Predict by the Me…Fast Effective Rule Induction (1995)Fast Effective Rule InductionBetween MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning (1999)Between MDPs and semi-MDPs: A…Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition (2000)Hierarchical Reinforcement Le…Learning in the Presence of Concept Drift and Hidden Contexts (1996)Learning in the Presence of C…Machine learning: Trends, perspectives, and prospects (2015)Machine learning: Trends, per…A Comprehensive Survey on Transfer Learning (2020)A Comprehensive Survey on Tra…A survey of transfer learning (2016)A survey of transfer learningA State-of-the-Art Survey on Deep Learning Theory and Architectures (2019)A State-of-the-Art Survey on …Agnostic Learning with Unknown Utilities (2016)Agnostic Learning with Unknow…
17 of 17 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.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Reinforcement Learning: A Survey19968,953
Markov Decision Processes: Discrete Stochastic Dynamic Programming.19958,450
Simple statistical gradient-following algorithms for connectionist reinforcement learning19927,519
Introduction to Reinforcement Learning19986,917
Multitask Learning19976,478
Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approach…19945,583
Learning from Delayed Rewards19895,473
Learning to Predict by the Methods of Temporal Differences19883,970
Fast Effective Rule Induction19953,810
Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning19993,201
Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition20001,459
Learning in the Presence of Concept Drift and Hidden Contexts19961,445

What cites it, inside the corpus

PaperYearCited
Machine learning: Trends, perspectives, and prospects20159,947
A Comprehensive Survey on Transfer Learning20206,441
A survey of transfer learning20166,290
A State-of-the-Art Survey on Deep Learning Theory and Architectures20191,619
Agnostic Learning with Unknown Utilities20161,416

Links

DOI · OpenAlex record

Topics

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

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports2 author record(s) attached.
  • supports118 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:57+00:00.

sha256 b3024609427ad450…