Rohan Chandra

Artificial Intelligence · with Abbatematteo · 2024

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 — 56 citations into it
• Reinforcement Learning — 38 citations into it
• Control and Systems Engineering — 33 citations into it
• Biomedical Engineering — 19 citations into it

Whom Rohan Chandra trusts overall

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

1. Sergey Levine
2. Jemin Hwangbo
3. Pieter Abbeel

Papers from Rohan Chandra's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Proximal Policy Optimization Algorithms (arXiv.org)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. End-to-End Training of Deep Visuomotor Policies
10. Human-level control through deep reinforcement learning

Their papers

• Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes (2024) — 389 citations