Raj Ghugare

2022202320241 11 8

Benjamin EysenbachPrinceton UniversityVerified email at google.com
Homanga BharadhwajCarnegie Mellon University | Meta AIVerified email at cs.cmu.edu
Sergey LevineUC Berkeley, Physical IntelligenceVerified email at eecs.berkeley.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Glen BersethAssitant Professor - Université de MontréalVerified email at umontreal.ca
Santiago MiretAI ResearcherVerified email at intel.com
Mariano PhielippIntelVerified email at intel.com
Matthieu GeistCohere (ex Google, on leave of Professor, Université de Lorraine)Verified email at univ-lorraine.fr
Shital Chiddarwar, Ph.D.Professor, Visvesvaraya National Institute of Technology NagpurVerified email at mec.vnit.ac.in

Raj Ghugare

Mila - Quebec AI Institute

Verified email at mila.quebec - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Simplifying model-based rl: learning representations, latent-space models, and policies with one objective R Ghugare, H Bharadhwaj, B Eysenbach, S Levine, R Salakhutdinov International Conference on Learning Representations, 2022	20	2022
Closing the Gap between TD Learning and Supervised Learning--A Generalisation Point of View. R Ghugare, M Geist, G Berseth, B Eysenbach International Conference on Learning Representations, 2023		2023
Searching for High-Value Molecules Using Reinforcement Learning and Transformers R Ghugare, S Miret, A Hugessen, M Phielipp, G Berseth International Conference on Learning Representations, 2023		2023
Reproducibility study of the Value Equivalence Principle for Model Based Reinforcement Learning R Ghugare, S ‪Chiddarwar		2021

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