| Learning GFlowNets from partial episodes for improved convergence and stability K Madan, J Rector-Brooks, M Korablyov, E Bengio, M Jain, AC Nica, ... International Conference on Machine Learning, 23467-23483, 2023 | 37 | 2023 |
| Evaluating Generalization in GFlowNets for Molecule Design AC Nica, M Jain, E Bengio, CH Liu, M Korablyov, MM Bronstein, Y Bengio ICLR2022 Machine Learning for Drug Discovery, 2022 | 14 | 2022 |
| Collecting and processing a self-driving dataset in the UPB campus AC Nica, M Trsăcău, AA Rotaru, C Andreescu, A Sorici, AM Florea, ... 2019 22nd International Conference on Control Systems and Computer Science …, 2019 | 8 | 2019 |
| SE (3)-Stochastic Flow Matching for Protein Backbone Generation AJ Bose, T Akhound-Sadegh, K Fatras, G Huguet, J Rector-Brooks, ... arXiv preprint arXiv:2310.02391, 2023 | 7 | 2023 |
| The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning A Nica, K Khetarpal, D Precup arXiv preprint arXiv:2201.09653, 2022 | 3 | 2022 |
| End-to-end models for self-driving cars on UPB campus roads A Mihalea, R Samoilescu, AC Nica, M Trăscău, A Sorici, AM Florea 2019 IEEE 15th International Conference on Intelligent Computer …, 2019 | 2 | 2019 |
| Learning to Maximize Return in a Stag Hunt Collaborative Scenario through Deep Reinforcement Learning AC Nica, T Berariu, F Gogianu, AM Florea 2017 19th International Symposium on Symbolic and Numeric Algorithms for …, 2017 | 2 | 2017 |
| Order from Chaos: Leveraging the Order in Time as Intrinsic Reward AC Nica, AM Florea 2023 24th International Conference on Control Systems and Computer Science …, 2023 | | 2023 |
| The Paradox of Choice: On the Role of Attention in Hierarchical Reinforcement Learning AC Nica, K Khetarpal, D Precup NeurIPS'22 Workshop on All Things Attention: Bridging Different Perspectives …, 2022 | | 2022 |
