Time Series Prediction Via Recurrent Neural Networks with the Information Bottleneck Principle. - Duo Xu 001; Faramarz Fekri (SPAWC, 2018)

Accelerating Reinforcement Learning Agent with EEG-based Implicit Human Feedback. - Duo Xu 001; Mohit Agarwal 001; Faramarz Fekri; Raghupathy Sivakumar (CoRR, 2020)

Improving Actor-Critic Reinforcement Learning via Hamiltonian Policy. - Duo Xu 001; Faramarz Fekri (CoRR, 2021)

Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming. - Duo Xu 001; Faramarz Fekri (CoRR, 2021)

Accelerating Reinforcement Learning using EEG-based implicit human feedback. - Duo Xu 001; Mohit Agarwal 001; Ekansh Gupta; Faramarz Fekri; Raghupathy Sivakumar (Neurocomputing, 2021)

Integrating Symbolic Planning and Reinforcement Learning for Following Temporal Logic Specifications. - Duo Xu 001; Faramarz Fekri (IJCNN, 2022)

A Framework for Following Temporal Logic Instructions with Unknown Causal Dependencies. - Duo Xu 001; Faramarz Fekri (CoRR, 2022)

Generalizing LTL Instructions via Future Dependent Options. - Duo Xu 001; Faramarz Fekri (CoRR, 2022)

Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method. - Duo Xu 001; Faramarz Fekri (IEEE Trans. Artif. Intell., 2023)

LLM-Augmented Symbolic Reinforcement Learning with Landmark-Based Task Decomposition. - Alireza Kheirandish; Duo Xu 001; Faramarz Fekri (CoRR, 2024)

Generalization of Compositional Tasks with Logical Specification via Implicit Planning. - Duo Xu 001; Faramarz Fekri (CoRR, 2024)

Learning Hidden Subgoals under Temporal Ordering Constraints in Reinforcement Learning. - Duo Xu 001; Faramarz Fekri (CoRR, 2024)

Generalization of temporal logic tasks via future dependent options. - Duo Xu 001; Faramarz Fekri (Mach. Learn., 2024)

LLM-Augmented Symbolic RL with Landmark-Based Task Decomposition. - Alireza Kheirandish; Duo Xu 001; Faramarz Fekri (ICASSP, 2025)

HDCS: Hierarchy Discovery and Critic Shaping for Reinforcement Learning with Automaton Specification. - Duo Xu 001; Faramarz Fekri (Trans. Mach. Learn. Res., 2025)