34 citations · 34 across the 5 of their papers we have counts for
5 papers
Exactness at Inference: A Representational Criterion for Out-of-Distribution Generalization
Filipe Marinho Rocha, Inês Dutra, Vítor Santos Costa +1
A model generalizes outside its training distribution only when it computes a representation structurally equivalent to the generating mechanism, not an approximation fitted to it.…
Program Synthesis using Inductive Logic Programming for the Abstraction and Reasoning Corpus
Filipe Marinho Rocha, Inês Dutra, Vítor Santos Costa
The Abstraction and Reasoning Corpus (ARC) is a general artificial intelligence benchmark that is currently unsolvable by any Machine Learning method, including Large Language Mode…
Robust Biped Locomotion Using Deep Reinforcement Learning on Top of an Analytical Control Approach
Mohammadreza Kasaei, Miguel Abreu, Nuno Lau +2
This paper proposes a modular framework to generate robust biped locomotion using a tight coupling between an analytical walking approach and deep reinforcement learning. This fram…
A CPG-Based Agile and Versatile Locomotion Framework Using Proximal Symmetry Loss
Mohammadreza Kasaei, Miguel Abreu, Nuno Lau +2
Humanoid robots are made to resemble humans but their locomotion abilities are far from ours in terms of agility and versatility. When humans walk on complex terrains, or face exte…
Learning Hybrid Locomotion Skills -- Learn to Exploit Residual Dynamics and Modulate Model-based Gait Control
Mohammadreza Kasaei, Miguel Abreu, Nuno Lau +3
This work aims to combine machine learning and control approaches for legged robots, and developed a hybrid framework to achieve new capabilities of balancing against external pert…