Media Summary: Improving Transformer World Models for Data Efficient Reinforcement Learning Rama Ramakrishnan, MIT Sloan Professor of the Practice [ICML2024] Data-efficient Large Vision Models through Sequential Autoregression
Data Efficient Ai Based Modelling - Detailed Analysis & Overview
Improving Transformer World Models for Data Efficient Reinforcement Learning Rama Ramakrishnan, MIT Sloan Professor of the Practice [ICML2024] Data-efficient Large Vision Models through Sequential Autoregression Welcome to another deep dive in the Reading Research Papers series. In this video, we go through the paper “Training MAIS Poster 102: Data Efficient Reinforcement Learning with Momentum Predictive Models
![[ICML2024] Data-efficient Large Vision Models through Sequential Autoregression](https://i.ytimg.com/vi/DPA5v8KQXNU/mqdefault.jpg)
