Eehern Wong

Reinforcement Learning · 2018

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

Subfields

Whom Eehern Wong trusts

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

  1. J. Gao (in Reinforcement Learning)

Papers from Eehern Wong's perspective

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

  1. Human-level control through deep reinforcement learning
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
  4. Off-policy Learning with Options and Recognizers
  5. Probabilistic reasoning in intelligent systems: Networks of plausible inference
  6. On the Sample Complexity of the Linear Quadratic Regulator
  7. Asymmetric Actor Critic for Image-Based Robot Learning
  8. Machine Learning Applications for Data Center Optimization
  9. Gradient Descent Learns Linear Dynamical Systems
  10. Time series analysis, forecasting and control

Their papers