Nadav Bhonker

Reinforcement Learning · 2016

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 16 citations into it
• Artificial Intelligence — 14 citations into it

Whom Nadav Bhonker trusts overall

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

1. Michael L. Littman
2. Marc G. Bellemare
3. Hado van Hasselt
4. Richard S. Sutton
5. Volodymyr Mnih
6. David Silver
7. Murray Campbell
8. Julian Togelius
9. G. Tesauro
10. Ziyun Wang

Who trusts Nadav Bhonker overall

1. Alex Nichol
2. Oriol Vinyals
3. Vicki Pfau

Papers from Nadav Bhonker's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Human-level control through deep reinforcement learning
7. Attention is All you Need (Neural Information Processing Systems)
8. The Arcade Learning Environment: An Evaluation Platform for General Agents
9. Playing Atari with Deep Reinforcement Learning (arXiv.org)
10. Asynchronous Methods for Deep Reinforcement Learning

Their papers

• Playing SNES in the Retro Learning Environment (2016) — 19 citations