Bikramjit Banerjee

Reinforcement Learning · 2004–2016

A researcher in the Science corpus: 7 papers; trusts 31 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Bikramjit Banerjee trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Richard S. Sutton
  2. Michael L. Littman
  3. Andrew Barto
  4. G. Tesauro
  5. Michael H. Bowling
  6. Ronen I. Brafman
  7. Peter Auer
  8. Frans Adriaan Oliehoek
  9. Shlomo Zilberstein
  10. Landon Kraemer

Who trusts Bikramjit Banerjee overall

  1. Erik Zawadzki
  2. Vincent Conitzer
  3. Hilmar Finnsson
  4. Amy Zhang
  5. Asher Lipson
  6. Tabish Rashid
  7. Joey Tianyi Zhou
  8. Jayesh K. Gupta
  9. Landon Kraemer
  10. Kevin Leyton-Brown

Papers from Bikramjit Banerjee's perspective

Ordered by how strongly the researchers Bikramjit Banerjee trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Reinforcement Learning: An Introduction
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  10. Asynchronous Methods for Deep Reinforcement Learning

Their papers