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ORCIDDuo Xu 0001
Person information
- affiliation: Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USA
Other persons with the same name
- Duo Xu — disambiguation page
- Duo Xu 0002
![[0000-0002-2694-2122]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2694-2122")
— Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China - Duo Xu 0003 — Eindhoven University of Technology, Department of Electrical Engineering, Netherlands
- Duo Xu 0004 — Beijing Institute for General Artificial Intelligence (BIGAI), Key Laboratory of General Artificial Intelligence, Beijing, China (and 2 more)
- Duo Xu 0005 — University of Toronto, Canadian Institute for Theoretical Astrophysics (CITA), Canada (and 2 more)
- Duo Xu 0006 — École Polytechnique Fédérale de Lausanne (EPFL), Vaud, Swiss
- Duo Xu 0007 — Alibaba Group, Hangzhou, China (and 1 more)
- Duo Xu 0008 — University of Waterloo, Department of Electrical and Computer Engineering, ON, Canada
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2020 – today
- 2025
[j4]Duo Xu, Faramarz Fekri:
HDCS: Hierarchy Discovery and Critic Shaping for Reinforcement Learning with Automaton Specification. Trans. Mach. Learn. Res. 2025 (2025)- [c4]Alireza Kheirandish, Duo Xu, Faramarz Fekri:
LLM-Augmented Symbolic RL with Landmark-Based Task Decomposition. ICASSP 2025: 1-5 - 2024
- [j3]Duo Xu, Faramarz Fekri:
Generalization of temporal logic tasks via future dependent options. Mach. Learn. 113(10): 7509-7540 (2024) - [i8]Alireza Kheirandish, Duo Xu, Faramarz Fekri:
LLM-Augmented Symbolic Reinforcement Learning with Landmark-Based Task Decomposition. CoRR abs/2410.01929 (2024) - [i7]Duo Xu, Faramarz Fekri:
Generalization of Compositional Tasks with Logical Specification via Implicit Planning. CoRR abs/2410.09686 (2024) - [i6]Duo Xu, Faramarz Fekri:
Learning Hidden Subgoals under Temporal Ordering Constraints in Reinforcement Learning. CoRR abs/2411.01425 (2024) - 2023
- [j2]Duo Xu, Faramarz Fekri:
Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method. IEEE Trans. Artif. Intell. 4(6): 1642-1653 (2023) - 2022
- [c3]Duo Xu, Faramarz Fekri:
Improving Actor-Critic Reinforcement Learning Via Hamiltonian Monte Carlo Method. ICASSP 2022: 4018-4022 - [c2]Duo Xu, Faramarz Fekri:
Integrating Symbolic Planning and Reinforcement Learning for Following Temporal Logic Specifications. IJCNN 2022: 1-8 - [i5]Duo Xu, Faramarz Fekri:
A Framework for Following Temporal Logic Instructions with Unknown Causal Dependencies. CoRR abs/2204.03196 (2022) - [i4]Duo Xu, Faramarz Fekri:
Generalizing LTL Instructions via Future Dependent Options. CoRR abs/2212.04576 (2022) - 2021
- [j1]Duo Xu, Mohit Agarwal, Ekansh Gupta, Faramarz Fekri, Raghupathy Sivakumar:
Accelerating Reinforcement Learning using EEG-based implicit human feedback. Neurocomputing 460: 139-153 (2021) - [i3]Duo Xu, Faramarz Fekri:
Improving Actor-Critic Reinforcement Learning via Hamiltonian Policy. CoRR abs/2103.12020 (2021) - [i2]Duo Xu, Faramarz Fekri:
Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming. CoRR abs/2106.11417 (2021) - 2020
- [i1]Duo Xu, Mohit Agarwal, Faramarz Fekri, Raghupathy Sivakumar:
Accelerating Reinforcement Learning Agent with EEG-based Implicit Human Feedback. CoRR abs/2006.16498 (2020)
2010 – 2019
- 2018
- [c1]Duo Xu, Faramarz Fekri:
Time Series Prediction Via Recurrent Neural Networks with the Information Bottleneck Principle. SPAWC 2018: 1-5
Coauthor Index
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