| Spectral normalisation for deep reinforcement learning: an optimisation perspective F Gogianu, T Berariu, MC Rosca, C Clopath, L Busoniu, R Pascanu International Conference on Machine Learning, 3734-3744, 2021 | 42 | 2021 |
| An argumentation framework for bdi agents T Berariu Intelligent Distributed Computing VII: Proceedings of the 7th International …, 2014 | 24 | 2014 |
| A study on the plasticity of neural networks T Berariu, W Czarnecki, S De, J Bornschein, S Smith, R Pascanu, ... arXiv preprint arXiv:2106.00042, 2021 | 10 | 2021 |
| When Does Re-initialization Work? S Zaidi, T Berariu, H Kim, J Bornschein, C Clopath, YW Teh, R Pascanu Proceedings on, 12-26, 2023 | 9 | 2023 |
| oniu, and Elena Burceanu F Gogianu, T Berariu, L Bus Atari agents, 2022 | 5 | 2022 |
| Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search A Mehrabian, A Anand, H Kim, N Sonnerat, M Balog, G Comanici, ... arXiv preprint arXiv:2311.03583, 2023 | 2 | 2023 |
| 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 |
| Random Projection Based Representations for Learning Policies in Deterministic Atari Games T Berariu, F Gogianu, AM Florea 2017 21st International Conference on Control Systems and Computer Science …, 2017 | 2 | 2017 |
| Learning Collaboration in Reactive Agents Ensembles T Berariu, AM Florea 2015 20th International Conference on Control Systems and Computer Science …, 2015 | | 2015 |
