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
- Artificial Intelligence — 30 citations into it
- Reinforcement Learning — 28 citations into it
Whom Jonathan Harper trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
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.
- Human-level control through deep reinforcement learning
- The Arcade Learning Environment: An Evaluation Platform for General Agents
- Proximal Policy Optimization Algorithms (arXiv.org)
- Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
- Mastering the game of Go with deep neural networks and tree search
- Unifying Count-Based Exploration and Intrinsic Motivation
- ImageNet classification with deep convolutional neural networks
- Curiosity-Driven Exploration by Self-Supervised Prediction
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Rainbow: Combining Improvements in Deep Reinforcement Learning
Their papers
- Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning (2019) — 151 citations