( en | de | ru )

 

Disambiguation of "Ma, Yecheng Jason"

Author of the publication

copydeleteadd this publication to your clipboard
LIV: Language-Image Representations and Rewards for Robotic Control.

, , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 23301-23320. PMLR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Ian Jason

Jason Miskuly

Jason Crook

Jason Tam

Jason Pazis

 

Other publications of authors with the same name

Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning., , , and . CoRR, (2021)State Relevance for Off-Policy Evaluation., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 9537-9546. PMLR, (2021)LIV: Language-Image Representations and Rewards for Robotic Control., , , , , , and . CoRR, (2023)LIV: Language-Image Representations and Rewards for Robotic Control., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 23301-23320. PMLR, (2023)Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning., , , and . AAAI, page 5404-5412. AAAI Press, (2022)Diverse Sampling for Normalizing Flow Based Trajectory Forecasting., , , and . CoRR, (2020)SMODICE: Versatile Offline Imitation Learning via State Occupancy Matching., , , and . CoRR, (2022)VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training., , , , , and . ICLR, OpenReview.net, (2023)Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 14639-14663. PMLR, (2022)Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching., , , , and . L4DC, volume 211 of Proceedings of Machine Learning Research, page 259-271. PMLR, (2023)