Felipe Petroski Such
5 papers · 2018–2020 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(21)
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(3)
Reinforcement Learning
(3)
Deep Learning
(2)
Applications
(2)
Architectures
(2)
Core AI
(2)
Core Methods
(2)
Learning Paradigms
(2)
Learning Types
(2)
Optimization & Theory · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Keywords
deep reinforcement learning
(2)
representation learning
(1)
reinforcement learning
(1)
multi-task learning
(1)
image generation
(1)
network architecture
(1)
transfer learning
(1)
curriculum learning
(1)
object detection
(1)
neural architecture search
(1)
neural network visualization
(1)
synthetic data generation
(1)
gradient descent
(1)
model-based reinforcement learning
(1)
latent variable
(1)
convolutional neural network
(1)
spatial representation
(1)
atari game
(1)
synthetic training data
(1)
translation invariance
(1)
Papers
Generalized Hidden Parameter MDPs:Transferable Model-Based RL in a Handful of Trials
AAAI 2020
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
ICML 2020
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
IJCAI 2019
An intriguing failing of convolutional neural networks and the CoordConv solution
NeurIPS 2018
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
NeurIPS 2018