Nuttapong Chentanez — accepted AI-conference papers

2020

Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds

Lukas Prantl, Nuttapong Chentanez, Stefan Jeschke, Nils Thuerey

ICLR 2020spotlight

Point clouds, as a form of Lagrangian representation, allow for powerful and flexible applications in a large number of computational disciplines. We propose a novel deep-learning method to learn stable and temporally coherent feature spaces for points clouds that change over time. We identify a set…

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2018

GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning

Jacky Liang, Viktor Makoviychuk, Ankur Handa, Nuttapong Chentanez, Miles Macklin, Dieter Fox

CoRL 2018

Most Deep Reinforcement Learning (Deep RL) algorithms require a prohibitively large number of training samples for learning complex tasks. Many recent works on speeding up Deep RL have focused on distributed training and simulation. While distributed training is often done on the GPU, simulation is

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