R. West

Reinforcement Learning · with Bestavros · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it
• Control and Systems Engineering — 8 citations into it
• Aerospace Engineering — 5 citations into it

Whom R. West trusts overall

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

1. John Schulman
2. Nathan P. Koenig
3. Douglas J. Leith

Papers from R. West's perspective

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

1. Reinforcement Learning: An Introduction
2. Trust Region Policy Optimization (International Conference on Machine Learning)
3. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
4. Proximal Policy Optimization Algorithms (arXiv.org)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. OpenAI Gym
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Gradient-based learning applied to document recognition

Their papers

• Reinforcement Learning for UAV Attitude Control (2018) — 473 citations