Dibya Ghosh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
3
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning? | Katie Kang, Amrith Setlur, Dibya Ghosh, Jacob Steinhardt, Claire J. Tomlin, Sergey Levine, Aviral Kumar |
| 2024 | ICRA | Robotic Offline RL from Internet Videos via Value-Function Learning. | Chethan Bhateja, Derek Guo, Dibya Ghosh, Anikait Singh, Manan Tomar, Quan Vuong, Yevgen Chebotar, Sergey Levine, Aviral Kumar |
| 2023 | ICML | Reinforcement Learning from Passive Data via Latent Intentions. | Dibya Ghosh, Chethan Anand Bhateja, Sergey Levine |
| 2022 | ICML | Offline RL Policies Should Be Trained to be Adaptive. | Dibya Ghosh, Anurag Ajay, Pulkit Agrawal, Sergey Levine |
| 2021 | ICLR | Learning to Reach Goals via Iterated Supervised Learning. | Dibya Ghosh, Abhishek Gupta, Ashwin Reddy, Justin Fu, Coline Manon Devin, Benjamin Eysenbach, Sergey Levine |
| 2021 | ICLR | Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning. | Aviral Kumar, Rishabh Agarwal, Dibya Ghosh, Sergey Levine |
| 2020 | ICML | Representations for Stable Off-Policy Reinforcement Learning. | Dibya Ghosh, Marc G. Bellemare |
| 2019 | ICLR | Learning Actionable Representations with Goal Conditioned Policies. | Dibya Ghosh, Abhishek Gupta, Sergey Levine |
| 2018 | ICLR | Divide-and-Conquer Reinforcement Learning. | Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine |