Fanglei Sun

Reinforcement Learning · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fanglei Sun trusts

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

  1. Pieter Abbeel (in Artificial Intelligence)
  2. Diederik P. Kingma (in Artificial Intelligence)
  3. Richard S. Sutton (in Reinforcement Learning)
  4. Jimmy Ba (in Artificial Intelligence)
  5. Sergey Levine (in Artificial Intelligence)
  6. Shimon Whiteson (in Reinforcement Learning)

Papers from Fanglei Sun's perspective

Ordered by how strongly the researchers Fanglei Sun 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. Trust Region Policy Optimization (International Conference on Machine Learning)
  3. Proximal Policy Optimization Algorithms (arXiv.org)
  4. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  5. High-Dimensional Continuous Control Using Generalized Advantage Estimation
  6. Benchmarking Deep Reinforcement Learning for Continuous Control
  7. Deterministic Policy Gradient Algorithms
  8. Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor (International Conference on Machine Learning)
  9. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers