Ghugare, Raj

8 publications

NeurIPS 2025 Normalizing Flows Are Capable Models for Continuous Control Raj Ghugare, Benjamin Eysenbach

ICLR 2024 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

NeurIPSW 2023 Closing the Gap Between TD Learning and Supervised Learning -- a Generalisation Point of View. Raj Ghugare, Matthieu Geist, Glen Berseth, Benjamin Eysenbach

NeurIPSW 2023 Closing the Gap Between TD Learning and Supervised Learning -- a Generalisation Point of View. Raj Ghugare, Matthieu Geist, Glen Berseth, Benjamin Eysenbach

NeurIPSW 2023 Searching for High-Value Molecules Using Reinforcement Learning and Transformers Raj Ghugare, Santiago Miret, Adriana Hugessen, Mariano Phielipp, Glen Berseth

ICLR 2023 Simplifying Model-Based RL: Learning Representations, Latent-Space Models, and Policies with One Objective Raj Ghugare, Homanga Bharadhwaj, Benjamin Eysenbach, Sergey Levine, Russ Salakhutdinov

NeurIPSW 2022 Simplifying Model-Based RL: Learning Representations, Latent-Space Models, and Policies with One Objective Raj Ghugare, Homanga Bharadhwaj, Benjamin Eysenbach, Sergey Levine, Russ Salakhutdinov