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Liyu Chen
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Cited by
Year
Impossible tuning made possible: A new expert algorithm and its applications
L Chen, H Luo, CY Wei
Conference on Learning Theory, 1216-1259, 2021
442021
Minimax regret for stochastic shortest path with adversarial costs and known transition
L Chen, H Luo, CY Wei
Conference on Learning Theory, 1180-1215, 2021
362021
Finding the stochastic shortest path with low regret: The adversarial cost and unknown transition case
L Chen, H Luo
International Conference on Machine Learning, 1651-1660, 2021
302021
Learning infinite-horizon average-reward Markov decision process with constraints
L Chen, R Jain, H Luo
International Conference on Machine Learning, 3246-3270, 2022
252022
Implicit finite-horizon approximation and efficient optimal algorithms for stochastic shortest path
L Chen, M Jafarnia-Jahromi, R Jain, H Luo
Advances in Neural Information Processing Systems 34, 10849-10861, 2021
232021
Online learning for stochastic shortest path model via posterior sampling
M Jafarnia-Jahromi, L Chen, R Jain, H Luo
arXiv preprint arXiv:2106.05335, 2021
192021
Hyper-parameter tuning under a budget constraint
Z Lu, CK Chiang, F Sha
arXiv preprint arXiv:1902.00532, 2019
162019
Improved no-regret algorithms for stochastic shortest path with linear mdp
L Chen, R Jain, H Luo
International Conference on Machine Learning, 3204-3245, 2022
152022
Follow-the-perturbed-leader for adversarial markov decision processes with bandit feedback
Y Dai, H Luo, L Chen
Advances in Neural Information Processing Systems 35, 11437-11449, 2022
132022
Policy optimization for stochastic shortest path
L Chen, H Luo, A Rosenberg
Conference on Learning Theory, 982-1046, 2022
122022
NeurIPS
H Hu, L Chen, B Gong, F Sha
92019
Synthesized policies for transfer and adaptation across tasks and environments
H Hu, L Chen, B Gong, F Sha
Advances in Neural Information Processing Systems 31, 2018
92018
Near-optimal goal-oriented reinforcement learning in non-stationary environments
L Chen, H Luo
Advances in Neural Information Processing Systems 35, 33973-33984, 2022
62022
Policy learning and evaluation with randomized quasi-Monte Carlo
SMR Arnold, P L'Ecuyer, L Chen, Y Chen, F Sha
arXiv preprint arXiv:2202.07808, 2022
52022
Reaching goals is hard: Settling the sample complexity of the stochastic shortest path
L Chen, A Tirinzoni, M Pirotta, A Lazaric
International Conference on Algorithmic Learning Theory, 310-357, 2023
22023
-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis
Z Yu, Y Tao, L Chen, T Sun, H Yang
arXiv preprint arXiv:2310.03173, 2023
2023
Layered state discovery for incremental autonomous exploration
L Chen, A Tirinzoni, A Lazaric, M Pirotta
International Conference on Machine Learning, 4953-5001, 2023
2023
Supplementary Material: Synthesize Policies for Transfer and Adaptation across Tasks and Environments
H Hu, L Chen, B Gong, F Sha
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Articles 1–18