Kamienny, Pierre-Alexandre

9 publications

ICML 2023 Controllable Neural Symbolic Regression Tommaso Bendinelli, Luca Biggio, Pierre-Alexandre Kamienny

ICML 2023 Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search Pierre-Alexandre Kamienny, Guillaume Lample, Sylvain Lamprier, Marco Virgolin

ICML 2022 Deep Symbolic Regression for Recurrence Prediction Stéphane D’Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, Francois Charton

ICLR 2022 Direct Then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching Pierre-Alexandre Kamienny, Jean Tarbouriech, Sylvain Lamprier, Alessandro Lazaric, Ludovic Denoyer

NeurIPS 2022 End-to-End Symbolic Regression with Transformers Pierre-alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, Francois Charton

NeurIPSW 2022 Privileged Deep Symbolic Regression Luca Biggio, Bendinelli Tommaso, Pierre-Alexandre Kamienny

NeurIPSW 2022 Symbolic-Model-Based Reinforcement Learning Pierre-Alexandre Kamienny, Sylvain Lamprier

ICMLW 2021 Direct Then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching Pierre-Alexandre Kamienny, Jean Tarbouriech, Alessandro Lazaric, Ludovic Denoyer

NeurIPS 2021 FACMAC: Factored Multi-Agent Centralised Policy Gradients Bei Peng, Tabish Rashid, Christian Schroeder de Witt, Pierre-Alexandre Kamienny, Philip Torr, Wendelin Boehmer, Shimon Whiteson