Ghosh, Dibya

19 publications

CoRL 2025 $\pi_0.5$: A Vision-Language-Action Model with Open-World Generalization Kevin Black, Noah Brown, James Darpinian, Karan Dhabalia, Danny Driess, Adnan Esmail, Michael Robert Equi, Chelsea Finn, Niccolo Fusai, Manuel Y. Galliker, Dibya Ghosh, Lachy Groom, Karol Hausman, Brian Ichter, Szymon Jakubczak, Tim Jones, Liyiming Ke, Devin LeBlanc, Sergey Levine, Adrian Li-Bell, Mohith Mothukuri, Suraj Nair, Karl Pertsch, Allen Z. Ren, Lucy Xiaoyang Shi, Laura Smith, Jost Tobias Springenberg, Kyle Stachowicz, James Tanner, Quan Vuong, Homer Walke, Anna Walling, Haohuan Wang, Lili Yu, Ury Zhilinsky

ICML 2025 What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning? Katie Kang, Amrith Setlur, Dibya Ghosh, Jacob Steinhardt, Claire Tomlin, Sergey Levine, Aviral Kumar

NeurIPS 2023 Accelerating Exploration with Unlabeled Prior Data Qiyang Li, Jason Zhang, Dibya Ghosh, Amy Zhang, Sergey Levine

NeurIPS 2023 HIQL: Offline Goal-Conditioned RL with Latent States as Actions Seohong Park, Dibya Ghosh, Benjamin Eysenbach, Sergey Levine

ICMLW 2023 Offline Goal-Conditioned RL with Latent States as Actions Seohong Park, Dibya Ghosh, Benjamin Eysenbach, Sergey Levine

ICML 2023 Reinforcement Learning from Passive Data via Latent Intentions Dibya Ghosh, Chethan Anand Bhateja, Sergey Levine

NeurIPSW 2023 Robotic Offline RL from Internet Videos via Value-Function Pre-Training Chethan Anand Bhateja, Derek Guo, Dibya Ghosh, Anikait Singh, Manan Tomar, Quan Vuong, Yevgen Chebotar, Sergey Levine, Aviral Kumar

ICMLW 2023 Video-Guided Skill Discovery Manan Tomar, Dibya Ghosh, Vivek Myers, Anca Dragan, Matthew E. Taylor, Philip Bachman, Sergey Levine

NeurIPS 2022 Distributionally Adaptive Meta Reinforcement Learning Anurag Ajay, Abhishek Gupta, Dibya Ghosh, Sergey Levine, Pulkit Agrawal

ICMLW 2022 Distributionally Adaptive Meta Reinforcement Learning Anurag Ajay, Dibya Ghosh, Sergey Levine, Pulkit Agrawal, Abhishek Gupta

ICML 2022 Offline RL Policies Should Be Trained to Be Adaptive Dibya Ghosh, Anurag Ajay, Pulkit Agrawal, Sergey Levine

ICLR 2021 Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning Aviral Kumar, Rishabh Agarwal, Dibya Ghosh, Sergey Levine

ICLR 2021 Learning to Reach Goals via Iterated Supervised Learning Dibya Ghosh, Abhishek Gupta, Ashwin Reddy, Justin Fu, Coline Manon Devin, Benjamin Eysenbach, Sergey Levine

NeurIPS 2021 Why Generalization in RL Is Difficult: Epistemic POMDPs and Implicit Partial Observability Dibya Ghosh, Jad Rahme, Aviral Kumar, Amy Zhang, Ryan P. Adams, Sergey Levine

NeurIPS 2020 An Operator View of Policy Gradient Methods Dibya Ghosh, Marlos C. Machado, Nicolas Le Roux

ICML 2020 Representations for Stable Off-Policy Reinforcement Learning Dibya Ghosh, Marc G. Bellemare

ICLR 2019 Learning Actionable Representations with Goal Conditioned Policies Dibya Ghosh, Abhishek Gupta, Sergey Levine

ICLR 2018 Divide-and-Conquer Reinforcement Learning Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine

NeurIPS 2018 Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition Justin Fu, Avi Singh, Dibya Ghosh, Larry Yang, Sergey Levine