Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective. - Raj Ghugare; Homanga Bharadhwaj; Benjamin Eysenbach; Sergey Levine; Russ Salakhutdinov (ICLR, 2023)

Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View. - Raj Ghugare; Matthieu Geist; Glen Berseth; Benjamin Eysenbach (ICLR, 2024)

Searching for High-Value Molecules Using Reinforcement Learning and Transformers. - Raj Ghugare; Santiago Miret; Adriana Hugessen; Mariano Phielipp; Glen Berseth (ICLR, 2024)

Normalizing Flows are Capable Models for RL. - Raj Ghugare; Benjamin Eysenbach (CoRR, 2025)