Sample-Efficient Imitation Learning via Generative Adversarial Nets. - Lionel Blondé; Alexandros Kalousis (AISTATS, 2019)

Relational Mimic for Visual Adversarial Imitation Learning. - Lionel Blondé; Yichuan Charlie Tang; Jian Zhang 050; Russ Webb (CoRR, 2019)

Conditional Neural Relational Inference for Interacting Systems. - Joao A. Candido Ramos; Lionel Blondé; Stéphane Armand; Alexandros Kalousis (ECML/PKDD (5), 2021)

Where is the Grass Greener? Revisiting Generalized Policy Iteration for Offline Reinforcement Learning. - Lionel Blondé; Alexandros Kalousis (CoRR, 2021)

Counterfactual Interactive Learning: designing proactive artificial agents that learn from the mistakes of other decision makers. - Lionel Blondé (2021)

Lipschitzness is all you need to tame off-policy generative adversarial imitation learning. - Lionel Blondé; Pablo Strasser; Alexandros Kalousis (Mach. Learn., 2022)

Sample-Efficient On-Policy Imitation Learning from Observations. - João A. Cândido Ramos; Lionel Blondé; Naoya Takeishi; Alexandros Kalousis (CoRR, 2023)

Mimicking Better by Matching the Approximate Action Distribution. - João A. Cândido Ramos; Lionel Blondé; Naoya Takeishi; Alexandros Kalousis (ICML, 2024)

Navigating Sparse Molecular Data with Stein Diffusion Guidance. - Van Khoa Nguyen; Lionel Blondé; Alexandros Kalousis (CoRR, 2025)