| Deep multi-agent reinforcement learning with discrete-continuous hybrid action spaces H Fu, H Tang, J Hao, Z Lei, Y Chen, C Fan International Joint Conference on Artificial Intelligence (IJCAI 2019), 2019 | 64 | 2019 |
| Towards effective context for meta-reinforcement learning: an approach based on contrastive learning H Fu, H Tang, J Hao, C Chen, X Feng, D Li, W Liu Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7457-7465, 2021 | 43 | 2021 |
| A domain-agnostic approach for characterization of lifelong learning systems MM Baker, A New, M Aguilar-Simon, Z Al-Halah, SMR Arnold, ... Neural Networks 160, 274-296, 2023 | 14 | 2023 |
| MGHRL: Meta Goal-generation for Hierarchical Reinforcement Learning H Fu, H Tang, J Hao, W Liu, C Chen 2nd International Conference on Distributed Artificial Intelligence (DAI), 2020, 0 | 9* | |
| Model-based Lifelong Reinforcement Learning with Bayesian Exploration H Fu, S Yu, M Littman, G Konidaris Advances in Neural Information Processing Systems (NeurIPS), 2022, 2022 | 4 | 2022 |
| Meta-learning Parameterized Skills H Fu, S Yu, S Tiwari, M Littman, G Konidaris Fortieth International Conference on Machine Learning (ICML), 2023, 2023 | 3 | 2023 |
| Performance bounds for model and policy transfer in hidden-parameter mdps H Fu, J Yao, O Gottesman, F Doshi-Velez, G Konidaris The Eleventh International Conference on Learning Representations (ICLR), 2023, 2022 | 2 | 2022 |
| Model-based Reinforcement Learning for Parameterized Action Spaces R Zhang, H Fu, Y Miao, G Konidaris arXiv preprint arXiv:2404.03037, 2024 | | 2024 |
| Language-guided Skill Learning with Temporal Variational Inference H Fu, P Sharma, E Stengel-Eskin, G Konidaris, NL Roux, MA Côté, ... arXiv preprint arXiv:2402.16354, 2024 | | 2024 |
| Learning Portable Skills by Identifying Generalizing Features with an Attention-Based Ensemble ATDM Koch, Z Zhou, A Bagaria, H Fu, C Allen, G Konidaris | | 2022 |
