Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Pierre-Alexandre Kamienny
Observed name:
Kamienny, Pierre-Alexandre
Observed institutions:
Meta (Israel),
Sorbonne Université,
Meta (United Kingdom),
Meta (United States),
Institut Systèmes Intelligents et de Robotique,
LIP6
show all 6
OpenAlex ID:
A5002110131
FACMAC: Factored Multi-Agent Centralised Policy Gradients
2020
·
Peng, Bei
, Rashid, Tabish
, et al.
·
arXiv (Cornell University)
·
150
PDF
End-To-End Symbolic Regression with Transformers
2022
·
Pierre-Alexandre Kamienny
, Stéphane D'Ascoli
, et al.
·
neural information processing systems
·
61
End-to-end symbolic regression with transformers
2022
·
Kamienny, Pierre-Alexandre
, d'Ascoli, Stéphane
, et al.
·
HAL
·
39
Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control
2020
·
Christian Schröder de Witt
, Bei Peng
, et al.
·
arXiv (Cornell University)
·
38
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach
2024
·
Jurenka, Irina
, Kunesch, Markus
, et al.
·
arXiv (Cornell University)
·
24
PDF
Deep Symbolic Regression for Recurrent Sequences
2022
·
d'Ascoli, Stéphane
, Kamienny, Pierre-Alexandre
, et al.
·
arXiv (Cornell University)
·
22
PDF
End-to-end symbolic regression with transformers
2022
·
Kamienny, Pierre-Alexandre
, d'Ascoli, Stéphane
, et al.
·
arXiv (Cornell University)
·
9
PDF
Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization
2020
·
Kamienny, Pierre-Alexandre
, Pirotta, Matteo
, et al.
·
arXiv (Cornell University)
·
9
PDF
Privileged Information Dropout in Reinforcement Learning
2020
·
Kamienny, Pierre-Alexandre
, Arulkumaran, Kai
, et al.
·
arXiv (Cornell University)
·
8
PDF
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
2023
·
Kamienny, Pierre-Alexandre
, Lample, Guillaume
, et al.
·
arXiv (Cornell University)
·
5
PDF
Controllable Neural Symbolic Regression
2023
·
Bendinelli, Tommaso
, Biggio, Luca
, et al.
·
arXiv (Cornell University)
·
1
PDF
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching
2021
·
Kamienny, Pierre-Alexandre
, Tarbouriech, Jean
, et al.
·
arXiv (Cornell University)
·
1
PDF
SaLinA: Sequential Learning of Agents
2021
·
Denoyer, Ludovic
, de la Fuente, Alfredo
, et al.
·
arXiv (Cornell University)
·
1
PDF
An Insurance Broker for Every Small Business: The Economics of Exceptional Care at Scale
2026
·
Kamienny, Pierre-Alexandre
, Ainampudi, Parthasarathi
, et al.
·
arXiv (Cornell University)
PDF
Enhancing LLM Planning Capabilities through Intrinsic Self-Critique
2025
·
Bohnet, Bernd
, Kamienny, Pierre-Alexandre
, et al.
·
arXiv (Cornell University)
PDF
Evaluating Gemini in an arena for learning
2025
·
LearnLM Team
, Modi, Abhinit
, et al.
·
arXiv (Cornell University)
PDF
Adaptation efficace des agents appris par renforcement : de l'exploration model-free aux modèles symboliques
2023
·
Kamienny, Pierre-Alexandre
·
theses.fr (ABES)
Efficient adaptation of reinforcement learning agents : from model-free exploration to symbolic world models
2023
·
Pierre-Alexandre Kamienny
FACMAC: Factored Multi−Agent Centralised Policy Gradients
2021
·
Bei Peng
, Tabish Rashid
, et al.
·
arXiv (Cornell University)
Meta-Reinforcement Learning With Informed Policy Regularization
2021
·
Pierre-Alexandre Kamienny
, Matteo Pirotta
, et al.
Show more works
View as search
Works count:
20
Citation count:
368
H-index:
8
I10-index:
6
Year
Topic
Type
