Behaviour-Conditioned Policies for Cooperative Reinforcement Learning Tasks. - Antti Keurulainen; Isak Westerlund; Ariel Kwiatkowski; Samuel Kaski; Alexander Ilin (ICANN (4), 2021)

Creating Interactive Crowds with Reinforcement Learning. - Ariel Kwiatkowski (AAAI, 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)

Reward Function Design for Crowd Simulation via Reinforcement Learning. - Ariel Kwiatkowski; Vicky Kalogeiton; Julien Pettré; Marie-Paule Cani (MIG, 2023)

UGAE: A Novel Approach to Non-exponential Discounting. - Ariel Kwiatkowski; Vicky Kalogeiton; Julien Pettré; Marie-Paule Cani (CoRR, 2023)

Simulating crowds with reinforcement learning. (Simulation de foules avec l'apprentissage par renforcement). - Ariel Kwiatkowski (2023)

Understanding reinforcement learned crowds. - Ariel Kwiatkowski; Vicky Kalogeiton; Julien Pettré; Marie-Paule Cani (Comput. Graph., 2023)

Gymnasium: A Standard Interface for Reinforcement Learning Environments. - Mark Towers; Ariel Kwiatkowski; Jordan K. Terry; John U. Balis; Gianluca De Cola; Tristan Deleu; Manuel Goulão; Andreas Kallinteris; Markus Krimmel; Arjun KG; Rodrigo Perez-Vicente; Andrea Pierré; et al. (CoRR, 2024)

PILAF: Optimal Human Preference Sampling for Reward Modeling. - Yunzhen Feng; Ariel Kwiatkowski; Kunhao Zheng; Julia Kempe; Yaqi Duan (CoRR, 2025)