Search Results for author:
Found 2 papers, 0 papers with code
Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds
Point clouds, as a form of Lagrangian representation, allow for powerful and flexible applications in a large number of computational disciplines.
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning
Most Deep Reinforcement Learning (Deep RL) algorithms require a prohibitively large number of training samples for learning complex tasks.
Robotics
Cannot find the paper you are looking for? You can
Submit a new open access paper.
