Kuangqi Zhou
6 papers · 2021–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (4) π Cross-Pollinator (14) π Renaissance Researcher (6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(19)
π
Trend Setter
Conferences
ICML (3)
AISTATS (1)
CVPR (1)
ICLR (1)
Top co-authors
Keywords
reinforcement learning
(2)
reward shaping
(2)
laplacian representation
(2)
continual learning
(1)
robust optimization
(1)
online learning
(1)
policy optimization
(1)
geometric analysis
(1)
knowledge distillation
(1)
continuous optimization
(1)
markov decision process
(1)
value function
(1)
state representation
(1)
bandit feedback
(1)
regret bound
(1)
distance metric
(1)
class incremental learning
(1)
state embedding
(1)
dr-submodular maximization
(1)
feature decorrelation
(1)
Papers
Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback
AISTATS 2023
Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments
ICLR 2023
Reachability-Aware Laplacian Representation in Reinforcement Learning
ICML 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