Avoidance Learning Using Observational Reinforcement Learning. - David Venuto; Léonard Boussioux; Junhao Wang; Rola Dali; Jhelum Chakravorty; Yoshua Bengio; Doina Precup (CoRR, 2019)

oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions. - David Venuto; Jhelum Chakravorty; Léonard Boussioux; Junhao Wang; Gavin McCracken; Doina Precup (CoRR, 2020)

Policy Gradients Incorporating the Future. - David Venuto; Elaine Lau; Doina Precup; Ofir Nachum (ICLR, 2022)

Multi-Environment Pretraining Enables Transfer to Action Limited Datasets. - David Venuto; Sherry Yang 001; Pieter Abbeel; Doina Precup; Igor Mordatch; Ofir Nachum (ICML, 2023)

Code as Reward: Empowering Reinforcement Learning with VLMs. - David Venuto; Mohammad Sami Nur Islam; Martin Klissarov; Doina Precup; Sherry Yang 001; Ankit Anand (ICML, 2024)

Cracking the Code of Action: a Generative Approach to Affordances for Reinforcement Learning. - Lynn Cherif; Flemming Kondrup; David Venuto; Ankit Anand; Doina Precup; Khimya Khetarpal (CoRR, 2025)