Prakash Panangaden
Reinforcement Learning · 2004–2015
A researcher in the Science corpus: 6 papers; trusts 23 researchers and is trusted by 38 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 40 citations into it; #447 of 2,242 by trust here, #876 by citations
- Artificial Intelligence — 21 citations into it; #5,260 of 35,345 by trust here, #10,667 by citations
- Statistical Learning Theory — 9 citations into it; #671 of 1,038 by trust here, #619 by citations
- Statistics and Probability — 6 citations into it
- Signal Processing — 5 citations into it
Whom Prakash Panangaden trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Dimitri P. Bertsekas
- G. Tesauro
- Kim Guldstrand Larsen
- Geoffrey J. Gordon
- Andrew Barto
- Martin L. Puterman
- John N. Tsitsiklis
- Robert Givan
- R´emi Munos
Who trusts Prakash Panangaden overall
- Pablo Samuel Castro
- Doina Precup
- Amy Zhang
- David Abel
- Carles Gelada
- Robert Dadashi
- Saurabh Arora
- Ofir Nachum
- Mengjiao Yang
- Gheorghe Comanici
Papers from Prakash Panangaden's perspective
Ordered by how strongly the researchers Prakash Panangaden trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Markov Decision Processes: Discrete Stochastic Dynamic Programming
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Metrics for Finite Markov Decision Processes (2004) — 373 citations
- Bisimulation Metrics for Continuous Markov Decision Processes (2011) — 178 citations
- Metrics for labelled Markov processes (2004) — 363 citations
- Representation Discovery for MDPs Using Bisimulation Metrics (2015) — 20 citations
- Adaptive Control of Epileptic Seizures using Reinforcement Learning (2010)
- Bounding Performance Loss in Approximate MDP Homomorphisms (2008) — 87 citations