A comparison of controller architectures and learning mechanisms for arbitrary robot morphologies

no code implementations • 25 Sep 2023 • Jie Luo, Jakub Tomczak, Karine Miras, Agoston E. Eiben

The main question this paper addresses is: What combination of a robot controller and a learning method should be used, if the morphology of the learning robot is not known in advance?

Reinforcement Learning (RL)

Lamarck's Revenge: Inheritance of Learned Traits Can Make Robot Evolution Better

no code implementations • 22 Sep 2023 • Jie Luo, Karine Miras, Jakub Tomczak, Agoston E. Eiben

We research this issue through simulations with an evolutionary robot framework where morphologies (bodies) and controllers (brains) of robots are evolvable and robots also can improve their controllers through learning during their lifetime.

Conditional Channel Gated Networks for Task-Aware Continual Learning

1 code implementation • CVPR 2020 • Davide Abati, Jakub Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi

Therefore, we additionally introduce a task classifier that predicts the task label of each example, to deal with settings in which a task oracle is not available.

Continual Learning