Kuangqi Zhou
6 papers · 2021–2023 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(19)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Reinforcement Learning
(4)
Methods
(4)
Core Methods
(3)
Learning Types · Machine Learning
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Applications
(1)
Core AI
(1)
Learning Paradigms
(1)
Optimization
(1)
Keywords
laplacian representation
(2)
reward shaping
(2)
reinforcement learning
(2)
representation learning
(1)
continual learning
(1)
robust optimization
(1)
online learning
(1)
policy optimization
(1)
geometric analysis
(1)
knowledge distillation
(1)
class-incremental learning
(1)
continuous optimization
(1)
markov decision process
(1)
value function
(1)
state representation
(1)
bandit feedback
(1)
regret bound
(1)
distance metric
(1)
sparse reward
(1)
state embedding
(1)
Papers
Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback
AISTATS 2023
Reachability-Aware Laplacian Representation in Reinforcement Learning
ICML 2023
Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments
ICLR 2023
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
CVPR 2022
The Geometry of Robust Value Functions
ICML 2022
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing
ICML 2021