Mohammad Sadegh Talebi
11 papers · 2018–2025 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird
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Century Club Β· Bronze
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Research topics
Keywords
regret bound
(6)
markov decision process
(4)
regret minimization
(3)
reinforcement learning
(3)
sample complexity
(2)
automata learning
(2)
regular decision process
(2)
offline reinforcement learning
(2)
average reward
(2)
confidence set
(1)
bandit algorithm
(1)
model-based algorithm
(1)
adversarial bandit
(1)
reward machine
(1)
decision process
(1)
transition function
(1)
variance analysis
(1)
adaptive allocation
(1)
transition matrix
(1)
pac guarantee
(1)
Papers
Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics
ICLR 2025
Differentially Private No-regret Exploration in Adversarial Markov Decision Processes
UAI 2024
Exploration in Reward Machines with Low Regret
AISTATS 2023
Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits
ACML 2023
Provably Efficient Offline Reinforcement Learning in Regular Decision Processes
NeurIPS 2023
Improved Exploration in Factored Average-Reward MDPs
AISTATS 2021
Adversarial Bandits with Corruptions: Regret Lower Bound and No-regret Algorithm
NeurIPS 2020
Tightening Exploration in Upper Confidence Reinforcement Learning
ICML 2020
Learning Multiple Markov Chains via Adaptive Allocation
NeurIPS 2019
Model-Based Reinforcement Learning Exploiting State-Action Equivalence
ACML 2019
Variance-Aware Regret Bounds for Undiscounted Reinforcement Learning in MDPs
ALT 2018