Publications

Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Deisenroth Marc (2023). Optimal Transport for Offline Imitation Learning. In ICLR2023 (spotlight).

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Zhengyao Jiang, Tianjun Zhang, Micheal Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian (2023). Efficient Planning in a Compact Latent Action Space. In ICLR2023.

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Zhengyao Jiang, Tianjun Zhang, Robert Kirk, Tim Rocktäschel, Edward Grefenstette (2022). Graph Backup: Data Efficient Backup Exploiting Markovian Transitions. In Arxiv.

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Zhengyao Jiang, Tianjun Zhang, Robert Kirk, Tim Rocktäschel, Edward Grefenstette (2021). Graph Backup: Data Efficient Backup Exploiting Markovian Data. In DeepRL2021.

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Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel (2021). Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. In AAMAS2021.

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Zhengyao Jiang, Shan Luo (2019). Neural Logic Reinforcement Learning. In ICML2019.

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Zhengyao Jiang, Dixing Xu, Jinjun Liang (2017). A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. In Arxiv.

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