Xudong Zhang

Reinforcement Learning · with Wang · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Xudong Zhang trusts overall

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

  1. Daan Wierstra
  2. Ronald J. Williams
  3. Diederik P. Kingma

Who trusts Xudong Zhang overall

  1. Kai Zhu
  2. Tao Zhang

Papers from Xudong Zhang's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  3. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
  4. Deterministic Policy Gradient Algorithms
  5. Actor-Critic Algorithms
  6. Solving Deep Memory POMDPs with Recurrent Policy Gradients
  7. Simple statistical gradient-following algorithms for connectionist reinforcement learning
  8. Gradient-based learning applied to document recognition
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Memory-based control with recurrent neural networks

Their papers