Robert Givan
Reinforcement Learning · 2000–2011
A researcher in the Science corpus: 7 papers; trusts 31 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 27 citations into it; #996 of 2,242 by trust here, #1,253 by citations
- Artificial Intelligence — 19 citations into it; #6,630 of 35,345 by trust here, #9,760 by citations
- Algorithms & Complexity — 6 citations into it
- Computational Theory and Mathematics — 6 citations into it; #4,269 of 12,182 by trust here, #5,465 by citations
Whom Robert Givan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Craig Boutilier
- Dimitri P. Bertsekas
- Kurt Driessens
- Richard S. Sutton
- Thomas Gärtner
- Martin L. Puterman
- Hendrik Blockeel
- J. Ramon
- Kim Guldstrand Larsen
- G. Tesauro
Who trusts Robert Givan overall
- Michael L. Littman
- Martijn van Otterlo
- Craig Boutilier
- Pablo Samuel Castro
- Doina Precup
- Carles Gelada
- Lihong Li
- Jacob Buckman
- N. Ferns
- Erick Delage
Papers from Robert Givan's perspective
Ordered by how strongly the researchers Robert Givan trusts endorse each paper. Same corpus, a different order for every researcher.
- Markov Decision Processes: Discrete Stochastic Dynamic Programming
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Dynamic Programming and Markov Processes
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Reinforcement Learning: An Introduction
- Long Short-Term Memory
- Learning to predict by the methods of temporal differences
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
Their papers
- Equivalence notions and model minimization in Markov decision processes (2003) — 445 citations
- Bounded-parameter Markov decision processes (2000) — 353 citations
- Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes (2011) — 72 citations
- FF-Replan: A Baseline for Probabilistic Planning (2007) — 355 citations
- Discovering Relational Domain Features for Probabilistic Planning (2007) — 15 citations
- Relational Reinforcement Learning An Overview (2004)
- Approximate Policy Iteration with a Policy Language Bias (2003) — 172 citations