Joan Creus-Costa

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Joan Creus-Costa trusts

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

  1. Pieter Abbeel (in Artificial Intelligence)
  2. Sergey Levine (in Artificial Intelligence)
  3. John Schulman (in Reinforcement Learning)
  4. Jan Peters (in Artificial Intelligence)

Who trusts Joan Creus-Costa

  1. Jonathan Booher (in Robotics & Control)

Papers from Joan Creus-Costa's perspective

Ordered by how strongly the researchers Joan Creus-Costa trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Asynchronous Methods for Deep Reinforcement Learning
  2. Et al
  3. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  4. Trust Region Policy Optimization (International Conference on Machine Learning)
  5. Proximal Policy Optimization Algorithms (arXiv.org)
  6. MuJoCo: A physics engine for model-based control
  7. End-to-End Training of Deep Visuomotor Policies
  8. Deep Learning
  9. Benchmarking Deep Reinforcement Learning for Continuous Control
  10. ImageNet classification with deep convolutional neural networks

Their papers