Linda G. Bushnell

Reinforcement Learning · 2001–2020

A researcher in the Science corpus: 5 papers; trusts 15 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Linda G. Bushnell trusts overall

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

  1. Yiguang Hong
  2. Roger A. Horn
  3. Richard S. Sutton

Who trusts Linda G. Bushnell overall

  1. Dragan Nesic
  2. Andrew R. Teel
  3. Ya Zhang
  4. Chen Peng
  5. Guanghui Wen
  6. João Pedra Hespanha
  7. Zhongkui Li
  8. Wenwu Yu
  9. Hisaya Fujioka
  10. Z. Duan

Papers from Linda G. Bushnell's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Human-level control through deep reinforcement learning
  3. Trust Region Policy Optimization (International Conference on Machine Learning)
  4. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  5. The Arcade Learning Environment: An Evaluation Platform for General Agents
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Learning
  8. End-to-End Training of Deep Visuomotor Policies
  9. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
  10. Mastering the game of Go with deep neural networks and tree search

Their papers