Ariel Kwiatkowski

According to our database, Ariel Kwiatkowski authored at least 13 papers between 2021 and 2026.

Collaborative distances:

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

2026

torchtune: PyTorch native post-training library.

Mark Obozov, Maxime Griot, Joseph Cummings, Evan Smothers, Felipe Mello, Rafi Ayub, Philip John Bontrager, Salman Mohammadi, Ariel Kwiatkowski, Nathan Azrak, Mircea Mironenco

CoRR, May, 2026

Likelihood-Based Reward Designs for General LLM Reasoning.

Ariel Kwiatkowski, Natasha Butt, Ismail Labiad, Julia Kempe, Yann Ollivier

CoRR, February, 2026

Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability.

Shobhita Sundaram, John Quan, Ariel Kwiatkowski, Kartik Ahuja, Yann Ollivier, Julia Kempe

CoRR, January, 2026

2025

Soft Tokens, Hard Truths.

Natasha Butt, Ariel Kwiatkowski, Ismail Labiad, Julia Kempe, Yann Ollivier

CoRR, September, 2025

Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Mark Towers, Ariel Kwiatkowski, John U. Balis, Gianluca De Cola, Tristan Deleu, Manuel Goulão, Andreas Kallinteris, Markus Krimmel, Arjun KG, Rodrigo Perez-Vicente, J. K. Terry, Andrea Pierré, Sander Schulhoff, Jun Jet Tai, Hannah Tan, Omar G. Younis

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

PILAF: Optimal Human Preference Sampling for Reward Modeling.

Yunzhen Feng, Ariel Kwiatkowski, Kunhao Zheng, Julia Kempe, Yaqi Duan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2023

Understanding reinforcement learned crowds.

Ariel Kwiatkowski, Vicky Kalogeiton, Julien Pettré, Marie-Paule Cani

Comput. Graph., February, 2023

Simulating crowds with reinforcement learning. (Simulation de foules avec l'apprentissage par renforcement).

Ariel Kwiatkowski

PhD thesis, 2023

UGAE: A Novel Approach to Non-exponential Discounting.

Ariel Kwiatkowski, Vicky Kalogeiton, Julien Pettré, Marie-Paule Cani

CoRR, 2023

Reward Function Design for Crowd Simulation via Reinforcement Learning.

Ariel Kwiatkowski, Vicky Kalogeiton, Julien Pettré, Marie-Paule Cani

Proceedings of the 16th ACM SIGGRAPH Conference on Motion, Interaction and Games, 2023

2022

A Survey on Reinforcement Learning Methods in Character Animation.

Ariel Kwiatkowski, Eduardo Alvarado, Vicky Kalogeiton, C. Karen Liu, Julien Pettré, Michiel van de Panne, Marie-Paule Cani

Comput. Graph. Forum, 2022

Creating Interactive Crowds with Reinforcement Learning.

Ariel Kwiatkowski

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Behaviour-Conditioned Policies for Cooperative Reinforcement Learning Tasks.

Antti Keurulainen, Isak Westerlund, Ariel Kwiatkowski, Samuel Kaski, Alexander Ilin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021