Abstract: A differential dynamic programming (DDP)-based framework for inverse reinforcement learning (IRL) is introduced to recover the parameters in the cost function, system dynamics, and ...

While studying the XAttention paper, I noticed that the dynamic programming approach for minimum threshold prediction described in Section 2.3 does not appear to be implemented in the current codebase ...

Associate Professor and Associate Director of the Centre for Change and Complexity in Learning (C3L), Education Futures, University of South Australia Since ChatGPT appeared almost three years ago, ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

We hear talk of AI’s growing programming prowess to the point that it could, extrapolating things out, come to dominate base-level programming if not more, inhibiting the skill development of ...

Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical Laboratory Microfluidics and SPRi Engineering Research Center, ...

Abstract: In this article, an evolution-guided adaptive dynamic programming (EGADP) algorithm is developed to address the optimal regulation problems for the nonlinear systems. In the traditional ...

Evident by the smell of masala chai and the smooth jazz rendition of “Sweet Caroline” filling the air near the Kendall/MIT Open Space, Oct. 5 marked the third year of Fall Party, an annual autumnal ...

EXCLUSIVE: Here’s a really cool project that just got greenlit at DC Studios and Warner Bros Pictures Animation: Dynamic Duo. It will mark the first joint project between DC Studios and the Bill ...

Ben Green receives research funding from the Australian Research Council and the Australasian Performing Right Association. Sam Whiting receives funding from RMIT University, Creative Australia, and ...