Aurick Zhou
8 papers · 2018–2023 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (17) π£ Hot Topic Early Bird
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Research topics
Artificial Intelligence
(7)
Reinforcement Learning
(5)
Methods
(5)
Machine Learning
(4)
Bayesian & Probabilistic
(3)
Core AI
(3)
Learning Paradigms
(3)
Deep Learning
(2)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Optimization & Theory
(2)
Robotics
(1)
Application Areas
(1)
Applications
(1)
Capabilities
(1)
Keywords
maximum entropy
(2)
uncertainty estimation
(2)
off-policy learning
(2)
deep reinforcement learning
(2)
domain adaptation
(1)
entropy minimization
(1)
sample efficiency
(1)
out-of-distribution detection
(1)
language modeling
(1)
trajectory prediction
(1)
motion forecasting
(1)
posterior sampling
(1)
covariate shift
(1)
continuous control
(1)
reward learning
(1)
uncertainty quantification
(1)
distribution shift
(1)
normalized maximum likelihood
(1)
bayesian inference
(1)
offline reinforcement learning
(1)
Papers
MotionLM: Multi-Agent Motion Forecasting as Language Modeling
ICCV 2023
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation
ICML 2021
Bayesian Adaptation for Covariate Shift
NeurIPS 2021
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
ICML 2021
Conservative Q-Learning for Offline Reinforcement Learning
NeurIPS 2020
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables
ICML 2019
Learning to Walk Via Deep Reinforcement Learning
RSS 2019
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
ICML 2018