Matthew E. Taylor

The University of Texas at Austin, Washington State University, New Mexico State University, Lafayette College, University of Southern California, University of Louisiana at Lafayette, Turing Institute, Canadian Institute for Advanced Research

Papers

29

Total Citations

1,449

H-Index

17

About

No biography available yet.

Research Focus

Computer science29 · 1,449 citations
Artificial intelligence25 · 1,362 citations
Reinforcement learning14 · 993 citations
Robot17 · 950 citations
Machine learning11 · 857 citations
Mathematics10 · 664 citations
Task (project management)8 · 649 citations
Domain (mathematical analysis)7 · 620 citations
Engineering10 · 586 citations
Transfer of learning7 · 548 citations
Human–computer interaction11 · 509 citations
Multi-task learning2 · 337 citations

Key Achievements

17
H-Index
29
Papers
1,449
Total Citations
50
Avg Citations/Paper
🏆 Most Cited Paper
Cross-domain transfer for reinforcement learning
204 citations · 2007
📈 Most Prolific Year: 2011 (5 Papers)
🤝 Key Collaborators: 85
🏛 Institutions: The University of Texas at Austin, Washington State University, New Mexico State University, Lafayette College, University of Southern California, University of Louisiana at Lafayette

Top Papers

  1. 1
    Cross-domain transfer for reinforcement learning
    204 citations · 2007
  2. 2
    Online Multi-Task Learning for Policy Gradient Methods
    149 citations · 2014
  3. 3
    Transfer via inter-task mappings in policy search reinforcement learning
    133 citations · 2007
  4. 4
    Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities
    131 citations · 2024
  5. 5
    Integrating reinforcement learning with human demonstrations of varying ability
    128 citations · 2011
  6. 6
    Robot-enabled support of daily activities in smart home environments
    110 citations · 2018
  7. 7
    Interactive Learning from Policy-Dependent Human Feedback
    108 citations · 2017
  8. 8
    Comparing evolutionary and temporal difference methods in a reinforcement learning domain
    88 citations · 2006
  9. 9
    Transfer learning for reinforcement learning on a physical robot
    67 citations · 2010
  10. 10
    DCOPs meet the realworld: exploring unknown reward matrices with applications to mobile sensor networks
    58 citations · 2009

Key Collaborators

PSPeter Stone5 shared papersBPBei Peng5 shared papersMLMichael L. Littman4 shared papersRLRobert Loftin4 shared papersJMJames MacGlashan4 shared papersDLDavid L. Roberts4 shared papersMJManish Jain3 shared papersSWShimon Whiteson3 shared papersMTMilind Tambe3 shared papersGCGabriel Cruz2 shared papersZWZhaodong Wang2 shared papersQZQin Zhang2 shared papersHBHalit Bener Suay2 shared papersSCSonia Chernova2 shared papersDJDylan Jones2 shared papersTYTianpei Yang2 shared papersPTPrateek Tandon2 shared papersGAGeoffrey A. Hollinger2 shared papersYYYunxiang Ye2 shared papersEEEric Eaton2 shared papers
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