Pierre-Alexandre Kamienny

According to our database, Pierre-Alexandre Kamienny authored at least 13 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

PhD thesis, 2023

Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search.

Pierre-Alexandre Kamienny, Guillaume Lample, Sylvain Lamprier, Marco Virgolin

Proceedings of the International Conference on Machine Learning, 2023

Controllable Neural Symbolic Regression.

Tommaso Bendinelli, Luca Biggio, Pierre-Alexandre Kamienny

Proceedings of the International Conference on Machine Learning, 2023

2022

Deep Symbolic Regression for Recurrent Sequences.

Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton

CoRR, 2022

End-to-end Symbolic Regression with Transformers.

Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, François Charton

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep symbolic regression for recurrence prediction.

Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching.

Pierre-Alexandre Kamienny, Jean Tarbouriech, Alessandro Lazaric, Ludovic Denoyer

CoRR, 2021

SaLinA: Sequential Learning of Agents.

Ludovic Denoyer, Alfredo De la Fuente, Song Duong, Jean-Baptiste Gaya, Pierre-Alexandre Kamienny, Daniel H. Thompson

CoRR, 2021

FACMAC: Factored Multi-Agent Centralised Policy Gradients.

Bei Peng, Tabish Rashid, Christian Schröder de Witt, Pierre-Alexandre Kamienny, Philip H. S. Torr, Wendelin Boehmer, Shimon Whiteson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Privileged Information Dropout in Reinforcement Learning.

Pierre-Alexandre Kamienny, Kai Arulkumaran, Feryal M. P. Behbahani, Wendelin Boehmer, Shimon Whiteson

CoRR, 2020

Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization.

Pierre-Alexandre Kamienny, Matteo Pirotta, Alessandro Lazaric, Thibault Lavril, Nicolas Usunier, Ludovic Denoyer

CoRR, 2020

Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control.

Christian Schröder de Witt, Bei Peng, Pierre-Alexandre Kamienny, Philip H. S. Torr, Wendelin Böhmer, Shimon Whiteson

CoRR, 2020