Dhruva Tirumala
Reinforcement Learning · 2016–2019
A researcher in the Science corpus: 6 papers; trusts 51 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 145 citations into it; #963 of 2,242 by trust here, #342 by citations
- Artificial Intelligence — 144 citations into it; #10,423 of 35,345 by trust here, #3,362 by citations
- Computer Vision and Pattern Recognition — 29 citations into it
- Computational Theory and Mathematics — 28 citations into it
- Control and Systems Engineering — 25 citations into it
- Management Science and Operations Research — 25 citations into it
- Molecular Biology — 8 citations into it
Whom Dhruva Tirumala trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John Schulman
- Geoffrey E. Hinton
- Richard S. Sutton
- Nicolas Manfred Otto Heess
- E. Todorov
- Sergey Levine
- Volodymyr Mnih
- Diederik P. Kingma
- Pieter Abbeel
- Yoshua Bengio
Who trusts Dhruva Tirumala overall
Papers from Dhruva Tirumala's perspective
Ordered by how strongly the researchers Dhruva Tirumala trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Learning to reinforcement learn (2016) — 1,097 citations
- V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control (2019) — 141 citations
- Hierarchical visuomotor control of humanoids (2018) — 102 citations
- Information asymmetry in KL-regularized RL (2019) — 107 citations
- Exploiting Hierarchy for Learning and Transfer in KL-regularized RL (2019) — 45 citations
- Prefrontal cortex as a meta-reinforcement learning system (2018) — 627 citations