Tiancheng Jin
7 papers · 2018–2023 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (5) π Cross-Pollinator (14)
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Renaissance Researcher
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Taxonomy Completionist
(15)
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Hot Topic Early Bird
Conferences
NIPS (5)
ACML (1)
ICML (1)
Top co-authors
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
NIPS 2023
No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions
NIPS 2023
Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback
NIPS 2022
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition
NIPS 2021
Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition
NIPS 2020
Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition
ICML 2020
Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems
ACML 2018