Arjun Chandra

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 8 citations into it; #1,504 of 2,242 by trust here, #2,036 by citations
• Artificial Intelligence — 7 citations into it; #21,587 of 35,345 by trust here, #28,481 by citations

Whom Arjun Chandra trusts overall

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

1. Volodymyr Mnih
2. Richard S. Sutton
3. Razvan Pascanu
4. Marc G. Bellemare

Who trusts Arjun Chandra overall

1. Artyom Y. Sorokin
2. Shangtong Zhang

Papers from Arjun Chandra's perspective

Ordered by how strongly the researchers Arjun Chandra 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. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
4. Playing Atari with Deep Reinforcement Learning (arXiv.org)
5. The Arcade Learning Environment: An Evaluation Platform for General Agents
6. ImageNet classification with deep convolutional neural networks
7. Gradient-based learning applied to document recognition
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Policy Gradient Methods for Reinforcement Learning with Function Approximation
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Efficient Parallel Methods for Deep Reinforcement Learning (2017) — 119 citations