Pierre-Alexandre Kamienny

18 papers A* 6Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Enhancing LLM Planning Capabilities through Intrinsic Self-Critique.
CoRR
Bernd Bohnet, Pierre-Alexandre Kamienny, Hanie Sedghi, Dilan Görür, Pranjal Awasthi, Aaron Parisi, Kevin Swersky, Rosanne Liu, Azade Nova, Noah Fiedel
2024 J jnl
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach.
CoRR
Irina Jurenka, Markus Kunesch, Kevin R. McKee, Daniel Gillick, Shaojian Zhu, Sara Wiltberger, Shubham Milind Phal, Katherine L. Hermann, Daniel Kasenberg, Avishkar Bhoopchand, Ankit Anand, Miruna Pîslar, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Görür, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell L. Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Christopher Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulos, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim
2023 A* conf
Controllable Neural Symbolic Regression.
ICML
Tommaso Bendinelli, Luca Biggio, Pierre-Alexandre Kamienny
2023 J jnl
Controllable Neural Symbolic Regression.
CoRR
Tommaso Bendinelli, Luca Biggio, Pierre-Alexandre Kamienny
2023 A* conf
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search.
ICML
Pierre-Alexandre Kamienny, Guillaume Lample, Sylvain Lamprier, Marco Virgolin
2023 J jnl
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search.
CoRR
Pierre-Alexandre Kamienny, Guillaume Lample, Sylvain Lamprier, Marco Virgolin
2023 — —
Efficient adaptation of reinforcement learning agents : from model-free exploration to symbolic world models. (Adaptation efficace des agents appris par renforcement : de l'exploration model-free aux modèles symboliques).
Pierre-Alexandre Kamienny
2022 J jnl
Deep Symbolic Regression for Recurrent Sequences.
CoRR
Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton
2022 A* conf
Deep symbolic regression for recurrence prediction.
ICML
Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton
2022 A* conf
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching.
ICLR
Pierre-Alexandre Kamienny, Jean Tarbouriech, Sylvain Lamprier, Alessandro Lazaric, Ludovic Denoyer
2022 A* conf
End-to-end Symbolic Regression with Transformers.
NeurIPS
Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, François Charton
2022 J jnl
End-to-end symbolic regression with transformers.
CoRR
Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, François Charton
2021 J jnl
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching.
CoRR
Pierre-Alexandre Kamienny, Jean Tarbouriech, Sylvain Lamprier, Alessandro Lazaric, Ludovic Denoyer
2021 A* conf
FACMAC: Factored Multi-Agent Centralised Policy Gradients.
NeurIPS
Bei Peng, Tabish Rashid, Christian Schröder de Witt, Pierre-Alexandre Kamienny, Philip H. S. Torr, Wendelin Boehmer, Shimon Whiteson
2021 J jnl
SaLinA: Sequential Learning of Agents.
CoRR
Ludovic Denoyer, Alfredo De la Fuente, Song Duong, Jean-Baptiste Gaya, Pierre-Alexandre Kamienny, Daniel H. Thompson
2020 J jnl
Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control.
CoRR
Christian Schröder de Witt, Bei Peng, Pierre-Alexandre Kamienny, Philip H. S. Torr, Wendelin Böhmer, Shimon Whiteson
2020 J jnl
Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization.
CoRR
Pierre-Alexandre Kamienny, Matteo Pirotta, Alessandro Lazaric, Thibault Lavril, Nicolas Usunier, Ludovic Denoyer
2020 J jnl
Privileged Information Dropout in Reinforcement Learning.
CoRR
Pierre-Alexandre Kamienny, Kai Arulkumaran, Feryal M. P. Behbahani, Wendelin Boehmer, Shimon Whiteson