Omar Darwiche Domingues
9 papers · 2019–2022 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Keywords
sample complexity
(5)
markov decision process
(5)
regret bound
(4)
best-policy identification
(2)
reward-free exploration
(2)
reinforcement learning
(2)
non-stationary mdp
(2)
kernel methods
(2)
finite-time analysis
(1)
linear function approximation
(1)
pac learning
(1)
kernel-based reinforcement learning
(1)
game theory
(1)
monte carlo tree search
(1)
nonparametric estimation
(1)
entropy regularization
(1)
value iteration
(1)
minimax lower bound
(1)
nonparametric model
(1)
upper confidence bound
(1)
Papers
Adaptive Multi-Goal Exploration
AISTATS 2022
Adaptive Reward-Free Exploration
ALT 2021
A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces
AISTATS 2021
Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited
ALT 2021
Fast active learning for pure exploration in reinforcement learning
ICML 2021
Kernel-Based Reinforcement Learning: A Finite-Time Analysis
ICML 2021
UCB Momentum Q-learning: Correcting the bias without forgetting
ICML 2021
Planning in Markov Decision Processes with Gap-Dependent Sample Complexity
NeurIPS 2020
Planning in entropy-regularized Markov decision processes and games
NeurIPS 2019