| Accelerating Reinforcement Learning using EEG-based implicit human feedback D Xu, M Agarwal, E Gupta, F Fekri, R Sivakumar Neurocomputing 460, 139-153, 2021 | 29* | 2021 |
| Interpretable model-based hierarchical reinforcement learning using inductive logic programming D Xu, F Fekri arXiv preprint arXiv:2106.11417, 2021 | 11 | 2021 |
| Time series prediction via recurrent neural networks with the information bottleneck principle D Xu, F Fekri 2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018 | 10 | 2018 |
| Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method D Xu, F Fekri IEEE Transactions on Artificial Intelligence, 2021 | 8 | 2021 |
| Playing games with implicit human feedback D Xu, M Agarwal, F Fekri, R Sivakumar Workshop on Reinforcement Learning in Games, AAAI 6, 2020 | 7 | 2020 |
| A Framework for Following Temporal Logic Instructions with Unknown Causal Dependencies D Xu, F Fekri IJCNN 2022 (Oral), 2022 | 1* | 2022 |
| Generalization of Temporal Logic Tasks via Future Dependent Options D Xu, F Fekri EasyChair, 2024 | | 2024 |
| Grounding Subgoals of Temporal Logic Tasks in Online Reinforcement Learning D Xu, F Fekri EasyChair, 2024 | | 2024 |
