Jonathan Harper

Artificial Intelligence · 1 papers · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan Harper trusts

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

  1. Philip Hingston (in Artificial Intelligence)
  2. Marc G. Bellemare (in Reinforcement Learning)

Papers from Jonathan Harper's perspective

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

  1. Human-level control through deep reinforcement learning
  2. The Arcade Learning Environment: An Evaluation Platform for General Agents
  3. Proximal Policy Optimization Algorithms (arXiv.org)
  4. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  5. Unifying Count-Based Exploration and Intrinsic Motivation
  6. Mastering the game of Go with deep neural networks and tree search
  7. Curiosity-Driven Exploration by Self-Supervised Prediction
  8. Rainbow: Combining Improvements in Deep Reinforcement Learning
  9. FeUdal Networks for Hierarchical Reinforcement Learning
  10. Deep Reinforcement Learning that Matters

Their papers