Abby Van Soest

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 36 citations into it; #1,940 of 2,242 by trust here, #1,895 by citations
• Artificial Intelligence — 30 citations into it
• Management Science and Operations Research — 10 citations into it

Whom Abby Van Soest trusts overall

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

1. Sham M. Kakade

Who trusts Abby Van Soest overall

1. Sergey Levine
2. Aviral Kumar

Papers from Abby Van Soest's perspective

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

1. Human-level control through deep reinforcement learning
2. A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
3. Unifying Count-Based Exploration and Intrinsic Motivation
4. Deep Exploration via Bootstrapped DQN
5. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
6. ImageNet classification with deep convolutional neural networks
7. Intrinsically Motivated Reinforcement Learning
8. On the sample complexity of reinforcement learning.
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Reinforcement Learning: An Introduction

Their papers

• Provably Efficient Maximum Entropy Exploration (2018) — 369 citations