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Zhengyao Jiang
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Year
A deep reinforcement learning framework for the financial portfolio management problem
Z Jiang, D Xu, J Liang
arXiv preprint arXiv:1706.10059, 2017
3782017
Cryptocurrency portfolio management with deep reinforcement learning
Z Jiang, J Liang
2017 Intelligent systems conference (IntelliSys), 905-913, 2017
2482017
Neural Logic Reinforcement Learning
Z Jiang, S Luo
ICML 2019, 2019
572019
Efficient Planning in a Compact Latent Action Space
Z Jiang, T Zhang, M Janner, Y Li, T Rocktäschel, E Grefenstette, Y Tian
ICLR 2023, 2023
142023
Optimal Transport for Offline Imitation Learning
Y Luo, Z Jiang, S Cohen, E Grefenstette, D Marc
ICLR 2023 (spotlight), 2023
82023
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning
Z Jiang, P Minervini, M Jiang, T Rocktaschel
AAMAS 2021, 2021
42021
Graph backup: Data efficient backup exploiting markovian transitions
Z Jiang, T Zhang, R Kirk, T Rocktäschel, E Grefenstette
arXiv preprint arXiv:2205.15824, 2022
32022
Mildly Constrained Evaluation Policy for Offline Reinforcement Learning
L Xu, Z Jiang, J Wang, L Song, J Bian
arXiv preprint arXiv:2306.03680, 2023
2023
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