Tamara Norman

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 93 citations into it
• Artificial Intelligence — 77 citations into it

Whom Tamara Norman trusts overall

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

1. Richard S. Sutton

Papers from Tamara Norman's perspective

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

1. Reinforcement Learning: An Introduction
2. Asynchronous Methods for Deep Reinforcement Learning
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. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
7. MuJoCo: A physics engine for model-based control
8. Proximal Policy Optimization Algorithms (arXiv.org)
9. The Arcade Learning Environment: An Evaluation Platform for General Agents
10. ImageNet classification with deep convolutional neural networks

Their papers

• Acme: A Research Framework for Distributed Reinforcement Learning (2020) — 248 citations