| FACMAC: Factored multi-agent centralised policy gradients B Peng, T Rashid, C Schroeder de Witt, PA Kamienny, P Torr, W Böhmer, ... Neural Information Processing Systems (NeurIPS), 2021 | 130* | 2021 |
| Deep symbolic regression for recurrence prediction S d’Ascoli, PA Kamienny, G Lample, F Charton International Conference on Machine Learning (ICML), 2022 | 35* | 2022 |
| End-to-end symbolic regression with transformers PA Kamienny, S d'Ascoli, G Lample, F Charton Neural Information Processing Systems (NeurIPS), 2022 | 29 | 2022 |
| Meta-Reinforcement Learning With Informed Policy Regularization PA Kamienny, M Pirotta, A Lazaric, T Lavril, N Usunier, L Denoyer ICML 2020 Workshop on Inductive Biases, Invariances and Generalization in RL …, 2020 | 17* | 2020 |
| Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching PA Kamienny, J Tarbouriech, S Lamprier, A Lazaric, L Denoyer International Conference on Learning Representations (ICLR), 2022 | 10 | 2022 |
| Privileged information dropout in reinforcement learning PA Kamienny, K Arulkumaran, F Behbahani, W Boehmer, S Whiteson ICLR 2020 Workshop on Beyond tabula rasa in RL (BeTR-RL), 2020 | 10 | 2020 |
| Salina: Sequential learning of agents L Denoyer, A De la Fuente, S Duong, JB Gaya, PA Kamienny, ... arXiv preprint arXiv:2110.07910, 2021 | 8 | 2021 |
| MTEnv-environment interface for multi-task reinforcement learning S Sodhani, L Denoyer, PA Kamienny, O Delalleau Github, 2021a. URL https://github. com/facebookresearch/mtenv, 2021 | 3 | 2021 |
| Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition FO de Franca, M Virgolin, M Kommenda, MS Majumder, M Cranmer, ... arXiv preprint arXiv:2304.01117, 2023 | 1 | 2023 |
| Controllable Neural Symbolic Regression T Bendinelli, L Biggio, PA Kamienny International Conference on Machine Learning (ICML), 2023 | | 2023 |
| Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search PA Kamienny, G Lample, S Lamprier, M Virgolin International Conference on Machine Learning (ICML), 2023 | | 2023 |
| Symbolic-Model-Based Reinforcement Learning PA Kamienny, S Lamprier Neural Information Processing Systems (NeurIPS) 2022 AI for Science …, 2022 | | 2022 |
Guillaume LampleResearch Scientist, Facebook AI ResearchAdresse e-mail validée de fb.com
