Gautham Bommannan

Artificial Intelligence · 2017

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

• Artificial Intelligence — 19 citations into it
• Reinforcement Learning — 12 citations into it
• Safety, Robustness & Interpretability — 7 citations into it

Whom Gautham Bommannan trusts overall

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

1. Ian J. Goodfellow

Papers from Gautham Bommannan's perspective

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

1. Asynchronous Methods for Deep Reinforcement Learning
2. Human-level control through deep reinforcement learning
3. Trust Region Policy Optimization (International Conference on Machine 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. MuJoCo: A physics engine for model-based control
8. End-to-End Training of Deep Visuomotor Policies
9. Explaining and Harnessing Adversarial Examples
10. Gradient-based learning applied to document recognition

Their papers

• Robust Deep Reinforcement Learning with Adversarial Attacks (2017) — 366 citations