Tianzhen Hong

Electrical and Electronic Engineering · with Wang · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tianzhen Hong trusts overall

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

  1. Daniel C. O'Neill

Who trusts Tianzhen Hong overall

  1. Liang Yu
  2. Yassine Himeur

Papers from Tianzhen Hong's perspective

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

  1. Transfer Learning for Reinforcement Learning Domains: A Survey
  2. OpenAI Gym
  3. A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
  4. Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
  5. Model predictive control: past, present and future
  6. Residential Demand Response Using Reinforcement Learning (2010 First IEEE International Conference on Smart Grid Communications)
  7. The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants (Journal of Exposure Analysis and Environmental Epidemiology)
  8. On-Line Building Energy Optimization Using Deep Reinforcement Learning (IEEE Transactions on Smart Grid)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet classification with deep convolutional neural networks

Their papers