Dibya Ghosh

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	Vse	Od leta 2020
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indeks h	15	15
indeks i10	15	15

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Soavtorji

Sergey LevineUC Berkeley, Physical IntelligencePreverjeni e-poštni naslov na eecs.berkeley.edu
Benjamin EysenbachPrinceton UniversityPreverjeni e-poštni naslov na princeton.edu
Abhishek GuptaUniversity of WashingtonPreverjeni e-poštni naslov na cs.washington.edu
Quan VuongPhysical IntelligencePreverjeni e-poštni naslov na ucsd.edu
Aviral KumarCarnegie Mellon UniversityPreverjeni e-poštni naslov na andrew.cmu.edu
Justin FuUC BerkeleyPreverjeni e-poštni naslov na berkeley.edu
Chelsea FinnStanford University, Physical IntelligencePreverjeni e-poštni naslov na cs.stanford.edu
Tobias KreimanPhD Student, UC BerkeleyPreverjeni e-poštni naslov na berkeley.edu
Homer WalkeUniversity of California - BerkeleyPreverjeni e-poštni naslov na berkeley.edu
Karl PertschUC Berkeley, Stanford UniversityPreverjeni e-poštni naslov na berkeley.edu
Joey HejnaStanford UniversityPreverjeni e-poštni naslov na stanford.edu
Dorsa SadighStanford UniversityPreverjeni e-poštni naslov na cs.stanford.edu
Jianlan LuoUC Berkeley, Google XPreverjeni e-poštni naslov na eecs.berkeley.edu
Sudeep DasariGoogle DeepMindPreverjeni e-poštni naslov na cs.cmu.edu
Oier MeesUC BerkeleyPreverjeni e-poštni naslov na eecs.berkeley.edu
Avi SinghGoogle BrainPreverjeni e-poštni naslov na google.com
Coline DevinDeepMindPreverjeni e-poštni naslov na deepmind.com
Amy ZhangAssistant Professor of Electrical and Computer Engineering at University of Texas at AustinPreverjeni e-poštni naslov na austin.utexas.edu
Marc G. BellemareReliant AIPreverjeni e-poštni naslov na reliant.ai
Anurag AjayGoogle DeepMindPreverjeni e-poštni naslov na google.com

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Dibya Ghosh

UC Berkeley

Preverjeni e-poštni naslov na berkeley.edu - Domača stran

machine learning reinforcement learning optimization


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Octo: An open-source generalist robot policy OM Team, D Ghosh, H Walke, K Pertsch, K Black, O Mees, S Dasari, ... arXiv preprint arXiv:2405.12213 2 (3), 7, 2024	297*	2024
Learning to reach goals via iterated supervised learning D Ghosh, A Gupta, A Reddy, J Fu, C Devin, B Eysenbach, S Levine International Conference on Learning Representations (ICLR 2021), arXiv …, 2021	234*	2021
Variational inverse control with events: A general framework for data-driven reward definition J Fu, A Singh, D Ghosh, L Yang, S Levine Advances in neural information processing systems 31, 2018	154	2018
Learning Actionable Representations with Goal-Conditioned Policies D Ghosh, A Gupta, S Levine International Conference on Learning Representations (ICLR 2019), 2019	148	2019
Why generalization in rl is difficult: Epistemic pomdps and implicit partial observability D Ghosh, J Rahme, A Kumar, A Zhang, RP Adams, S Levine Advances in neural information processing systems 34, 25502-25515, 2021	139	2021
Divide-and-conquer reinforcement learning D Ghosh, A Singh, A Rajeswaran, V Kumar, S Levine International Conference on Learning Representations (ICLR 2018), 2018	130	2018
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning A Kumar, R Agarwal, D Ghosh, S Levine International Conference on Learning Representations (ICLR 2021), 2021	125	2021
Hiql: Offline goal-conditioned rl with latent states as actions S Park, D Ghosh, B Eysenbach, S Levine Advances in Neural Information Processing Systems 36, 34866-34891, 2023	57	2023
Representations for stable off-policy reinforcement learning D Ghosh, MG Bellemare International Conference on Machine Learning, 3556-3565, 2020	55	2020
Offline rl policies should be trained to be adaptive D Ghosh, A Ajay, P Agrawal, S Levine International Conference on Machine Learning, 7513-7530, 2022	52	2022
Reinforcement learning from passive data via latent intentions D Ghosh, CA Bhateja, S Levine International Conference on Machine Learning, 11321-11339, 2023	46	2023
An operator view of policy gradient methods D Ghosh, M C Machado, N Le Roux Advances in Neural Information Processing Systems 33, 3397-3406, 2020	28	2020
Robotic offline rl from internet videos via value-function pre-training C Bhateja, D Guo, D Ghosh, A Singh, M Tomar, Q Vuong, Y Chebotar, ... arXiv preprint arXiv:2309.13041, 2023	26*	2023
On catastrophic interference in atari 2600 games W Fedus, D Ghosh, JD Martin, MG Bellemare, Y Bengio, H Larochelle arXiv preprint arXiv:2002.12499, 2020	19	2020
Distributionally adaptive meta reinforcement learning A Ajay, A Gupta, D Ghosh, S Levine, P Agrawal Advances in Neural Information Processing Systems 35, 25856-25869, 2022	17	2022
Accelerating exploration with unlabeled prior data Q Li, J Zhang, D Ghosh, A Zhang, S Levine Advances in Neural Information Processing Systems 36, 67434-67458, 2023	9	2023
What Do Learning Dynamics Reveal About Generalization in LLM Reasoning? K Kang, A Setlur, D Ghosh, J Steinhardt, C Tomlin, S Levine, A Kumar arXiv preprint arXiv:2411.07681, 2024	3	2024
Video-Guided Skill Discovery M Tomar, D Ghosh, V Myers, A Dragan, ME Taylor, P Bachman, S Levine ICML 2023 Workshop The Many Facets of Preference-Based Learning, 2023	2	2023
Reward Hacking vs. Reward Conquering: A Comparative Analysis in Layman’s Term D Ghosh
Generative Evolutionary MAML: Decoupling Latent Space and Learning D Ghosh

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