Diego Romeres
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it
- Control and Systems Engineering — 15 citations into it
- Reinforcement Learning — 15 citations into it
Whom Diego Romeres trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Pieter Abbeel (in Artificial Intelligence)
- Sergey Levine (in Artificial Intelligence)
- Jan Peters (in Artificial Intelligence)
Papers from Diego Romeres's perspective
Ordered by how strongly the researchers Diego Romeres trusts endorse each paper. Same corpus, a different order for every researcher.
- Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
- End-to-End Training of Deep Visuomotor Policies
- ImageNet classification with deep convolutional neural networks
- Apprenticeship learning via inverse reinforcement learning
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Generative Adversarial Imitation Learning
- Universal Value Function Approximators
- One-Shot Imitation Learning
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)