Tiancheng Jin
7 papers · 2018–2023 · 3 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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Keywords
regret bound
(6)
adversarial learning
(4)
markov decision process
(3)
adversarial mdp
(2)
bandit feedback
(2)
stochastic optimization
(2)
stochastic process
(1)
adversarial setting
(1)
online reinforcement learning
(1)
multi-armed bandit
(1)
approximation algorithm
(1)
delayed feedback
(1)
travelling salesman problem
(1)
adversarial loss
(1)
unknown transition
(1)
tsallis entropy
(1)
state space
(1)
episodic markov decision process
(1)
episodic mdp
(1)
neural network
(1)
Papers
Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms
NeurIPS 2023
No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions
NeurIPS 2023
Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback
NeurIPS 2022
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition
NeurIPS 2021
Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition
ICML 2020
Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition
NeurIPS 2020
Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems
ACML 2018