Leveraging Multiple Environments for Learning and Decision Making: a Dismantling Use Case
Alejandro Suárez-Hernández,Thierry Gaugry,Javier Segovia-Aguas,Antonin Bernardin,Carme Torras,Maud Marchal,Guillem Alenyà,Alejandro Suárez-Hernández,Thierry Gaugry,Javier Segovia-Aguas,Antonin Bernardin,Carme Torras,Maud Marchal,Guillem Alenyà
Learning is usually performed by observing real robot executions. Physics-based simulators are a good alternative for providing highly valuable information while avoiding costly and potentially destructive robot executions. We present a novel approach for learning the probabilities of symbolic robot action outcomes. This is done leveraging different environments, such as physics-based simulators, ...
