Bhaskar Ramasubramanian

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bhaskar Ramasubramanian trusts overall

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

  1. Richard S. Sutton
  2. W. B. Knox
  3. Andrew Y. Ng
  4. Geoffrey E. Hinton
  5. David Silver
  6. Hado van Hasselt
  7. Peter Stone
  8. Marc G. Bellemare
  9. Diederik P. Kingma
  10. Volodymyr Mnih

Papers from Bhaskar Ramasubramanian's perspective

Ordered by how strongly the researchers Bhaskar Ramasubramanian 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. Human-level control through deep reinforcement learning
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Trust Region Policy Optimization (International Conference on Machine Learning)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Continuous control with deep reinforcement learning (International Conference on Learning Representations)

Their papers