Nir Levine
7 papers · 2017–2021 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(17)
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Trend Setter
Venues
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Research topics
Machine Learning
(5)
Reinforcement Learning
(4)
Deep Learning
(3)
Learning Types · Machine Learning
(3)
Methods
(3)
Application Areas
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory · Machine Learning
(2)
Mathematics & Optimization
(1)
Applications
(1)
Core Methods
(1)
Models
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
deep reinforcement learning
(1)
representation learning
(1)
off-policy evaluation
(1)
online learning
(1)
policy optimization
(1)
maximum entropy
(1)
variational inference
(1)
transfer learning
(1)
model misspecification
(1)
bayesian regularization
(1)
function approximation
(1)
knowledge distillation
(1)
robust reinforcement learning
(1)
optimal control
(1)
continuous control
(1)
value function approximation
(1)
batch reinforcement learning
(1)
stationary distribution
(1)
multi-armed bandit
(1)
model compression
(1)
Papers
Balancing Constraints and Rewards with Meta-Gradient D4PG
ICLR 2021
A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs
NeurIPS 2020
Improved Knowledge Distillation via Teacher Assistant
AAAI 2020
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control
ICLR 2020
Robust Reinforcement Learning for Continuous Control with Model Misspecification
ICLR 2020
Rotting Bandits
NeurIPS 2017
Shallow Updates for Deep Reinforcement Learning
NeurIPS 2017