2 papers
cs.LG2024
NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks
Bernardo Esteves, Miguel Vasco, Francisco S. Melo
We contribute NeuralSolver, a novel recurrent solver that can efficiently and consistently extrapolate, i.e., learn algorithms from smaller problems (in terms of observation size)…
cs.LG2024
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo
Miguel Vasco, Takuma Seno, Kenta Kawamoto +3
Racing autonomous cars faster than the best human drivers has been a longstanding grand challenge for the fields of Artificial Intelligence and robotics. Recently, an end-to-end de…