Duo Xu

According to our database, Duo Xu authored at least 15 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

HDCS: Hierarchy Discovery and Critic Shaping for Reinforcement Learning with Automaton Specification.

Duo Xu, Faramarz Fekri

Trans. Mach. Learn. Res., 2025

LLM-Augmented Symbolic RL with Landmark-Based Task Decomposition.

Alireza Kheirandish, Duo Xu, Faramarz Fekri

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Generalization of temporal logic tasks via future dependent options.

Duo Xu, Faramarz Fekri

Mach. Learn., October, 2024

Learning Hidden Subgoals under Temporal Ordering Constraints in Reinforcement Learning.

Duo Xu, Faramarz Fekri

CoRR, 2024

Generalization of Compositional Tasks with Logical Specification via Implicit Planning.

Duo Xu, Faramarz Fekri

CoRR, 2024

LLM-Augmented Symbolic Reinforcement Learning with Landmark-Based Task Decomposition.

Alireza Kheirandish, Duo Xu, Faramarz Fekri

CoRR, 2024

2023

Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method.

Duo Xu, Faramarz Fekri

IEEE Trans. Artif. Intell., December, 2023

2022

Generalizing LTL Instructions via Future Dependent Options.

Duo Xu, Faramarz Fekri

CoRR, 2022

A Framework for Following Temporal Logic Instructions with Unknown Causal Dependencies.

Duo Xu, Faramarz Fekri

CoRR, 2022

Integrating Symbolic Planning and Reinforcement Learning for Following Temporal Logic Specifications.

Duo Xu, Faramarz Fekri

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Accelerating Reinforcement Learning using EEG-based implicit human feedback.

Duo Xu, Mohit Agarwal, Ekansh Gupta, Faramarz Fekri, Raghupathy Sivakumar

Neurocomputing, 2021

Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming.

Duo Xu, Faramarz Fekri

CoRR, 2021

Improving Actor-Critic Reinforcement Learning via Hamiltonian Policy.

Duo Xu, Faramarz Fekri

CoRR, 2021

2020

Accelerating Reinforcement Learning Agent with EEG-based Implicit Human Feedback.

Duo Xu, Mohit Agarwal, Faramarz Fekri, Raghupathy Sivakumar

CoRR, 2020

2018

Time Series Prediction Via Recurrent Neural Networks with the Information Bottleneck Principle.

Duo Xu, Faramarz Fekri

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018