Arun Venkatraman
7 papers · 2013–2017 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Artificial Intelligence
(3)
Machine Learning
(3)
Core AI
(3)
Reinforcement Learning
(2)
Learning Types
(2)
Methods · Reinforcement Learning
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Healthcare & Medicine
(1)
Analysis
(1)
Architectures
(1)
Core Methods
(1)
Methods · Data Science & Analytics
(1)
Keywords
imitation learning
(2)
reinforcement learning
(1)
online learning
(1)
ensemble learning
(1)
policy gradient
(1)
supervised learning
(1)
sample complexity
(1)
policy learning
(1)
future prediction
(1)
brain-computer interface
(1)
state estimation
(1)
gradient boosting
(1)
object segmentation
(1)
robot manipulation
(1)
sequential prediction
(1)
state space model
(1)
dynamical system
(1)
recurrent neural network
(1)
convex loss function
(1)
predictive state representation
(1)
Papers
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction
ICML 2017
Gradient Boosting on Stochastic Data Streams
AISTATS 2017
Predictive-State Decoders: Encoding the Future into Recurrent Networks
NeurIPS 2017
Inference Machines for Nonparametric Filter Learning
IJCAI 2016
Learning to Filter with Predictive State Inference Machines
ICML 2016
Autonomy Infused Teleoperation with Application to BCI Manipulation
RSS 2015
Perceiving, Learning, and Exploiting Object Affordances for Autonomous Pile Manipulation
RSS 2013