IEEE

Integrating DeepRL with Robust Low-Level Control in Robotic Manipulators for Non-Repetitive Reaching Tasks

Abstract: In robotics, contemporary strategies are learning-based, characterized by a complex black-box nature and a lack of interpretability, which may pose challenges in ensuring stability and ...
IEEE

Deep Learning and Low-Discrepancy Sampling for Efficient Approximate Dynamic Programming

Approximate dynamic programming (ADP) is the standard technique to derive optimal policies in finite-horizon stochastic multistage optimal decision problems, with continuous state space. Yet, it ...
Wired

Record Low Snow in the West Will Mean Less Water, More Fire, and Political Chaos

Snowpack levels across a wide swath of western US states are among the lowest seen in decades, even as regulators struggle to negotiate water rights in the region. “Barring a genuinely miraculous ...
GitHub

SPBPU-RISC-V-Low-level-Programming

spbpu-risc-v-low-level-programming-classroom-291c47-asm-mmr-ripes-SPBPU-RISCV-Low-level-Programming spbpu-risc-v-low-level-programming-classroom-291c47-asm-mmr-ripes ...
Texas Public Radio

San Antonio to study the feasibility of an alternative to jail for low-level offenders

Sign up for TPR Today, Texas Public Radio's newsletter that brings our top stories to your inbox each morning. The City of San Antonio is moving ahead with a plan to ...