J. Valasek

Reinforcement Learning · 2013–2019

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 24 citations into it
• Artificial Intelligence — 20 citations into it

Whom J. Valasek trusts overall

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

1. Richard S. Sutton
2. Sham M. Kakade
3. Diederik P. Kingma

Papers from J. Valasek's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Reinforcement Learning: An Introduction
3. Human-level control through deep reinforcement learning
4. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. Prioritized Experience Replay
9. Generative Adversarial Imitation Learning
10. Long Short-Term Memory

Their papers

• Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments (2019) — 34 citations
• Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research (2016) — 318 citations
• Small Unmanned Aircraft: Theory and Practice (2013) — 159 citations