10 citations · 14 across the 4 of their papers we have counts for
4 papers
EvoTorch: Scalable Evolutionary Computation in Python
Nihat Engin Toklu, Timothy Atkinson, Vojtěch Micka +2
Evolutionary computation is an important component within various fields such as artificial intelligence research, reinforcement learning, robotics, industrial automation and/or op…
ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution
Nihat Engin Toklu, Paweł Liskowski, Rupesh Kumar Srivastava
Distribution-based search algorithms are an effective approach for evolutionary reinforcement learning of neural network controllers. In these algorithms, gradients of the total re…
Safe Interactive Model-Based Learning
Marco Gallieri, Seyed Sina Mirrazavi Salehian, Nihat Engin Toklu +4
Control applications present hard operational constraints. A violation of these can result in unsafe behavior. This paper introduces Safe Interactive Model Based Learning (SiMBL),…
Artificial Intelligence for Prosthetics - challenge solutions
Łukasz Kidziński, Carmichael Ong, Sharada Prasanna Mohanty +47
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, participants were tasked with building a controller for a musculoskeletal model with a goal of matching a giv…