Sarah Henderson

Reinforcement Learning · 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 Sarah Henderson trusts

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

  1. Sergey Levine (in Artificial Intelligence)
  2. Richard S. Sutton (in Reinforcement Learning)
  3. David Silver (in Reinforcement Learning)

Papers from Sarah Henderson's perspective

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

  1. Asynchronous Methods for Deep Reinforcement Learning
  2. Reinforcement Learning: An Introduction
  3. Human-level control through deep reinforcement learning
  4. Trust Region Policy Optimization (International Conference on Machine Learning)
  5. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  6. MuJoCo: A physics engine for model-based control
  7. The Arcade Learning Environment: An Evaluation Platform for General Agents
  8. Proximal Policy Optimization Algorithms (arXiv.org)
  9. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  10. Playing Atari with Deep Reinforcement Learning (arXiv.org)

Their papers