You can also find my articles on my Google Scholar profile.


Journal Articles

Gap Minimization for Knowledge Sharing and Transfer

Journal of Machine Learning Research (JMLR), 2023
We extended the notion of performance gap for measuring domain discrepancy (NeurIPS-19) to a variety of transfer and multi-task learning settings, and introduced two new algorithms based on this notion for improving transfer and multi-task learning performance.

Conference Papers

Modular Lifelong Reinforcement Learning via Neural Composition

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International Conference on Learning Representations (ICLR), 2022
We explore the problem of lifelong RL of functionally compositional knowledge, and develop an algorithm that demonstrates zero-shot and forward transfer, avoidance of forgetting, and backward transfer in discrete 2-D and robotic manipulation domains.

Lifelong Learning of Compositional Structures

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International Conference on Learning Representations (ICLR), 2021
We study the question of how to learn compositional parameterized structures from an empirical standpoint, and propose a general-purpose framework that can learn with various forms of knowledge representations and base algorithms.

Lifelong Inverse Reinforcement Learning

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Advances in Neural Information Processing Systems (NeurIPS), 2018
We introduced the problem of lifelong learning from demonstrations, and created an efficient lifelong inverse reinforcement learning (ELIRL) algorithm.

Workshop Papers