← Search

Joel Akpo

2 accepted papers

2020

A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models

ICRA 2020poster

In the context of model-based reinforcement learning and control, a large number of methods for learning system dynamics have been proposed in recent years. The purpose of these learned models is to synthesize new control policies. An important open question is how robust current dynamics-learning m…

Cited by 10SourceScholar
2019

On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset

NeurIPS 2019poster

Learning meaningful and compact representations with disentangled semantic aspects is considered to be of key importance in representation learning. Since real-world data is notoriously costly to collect, many recent state-of-the-art disentanglement models have heavily relied on synthetic toy data-s…