Causal Action Influence Aware Counterfactual Data Augmentation

no code implementations • 29 May 2024 • Núria Armengol Urpí, Marco Bagatella, Marin Vlastelica, Georg Martius

Offline data are both valuable and practical resources for teaching robots complex behaviors.

Efficient Learning of High Level Plans from Play

no code implementations • 16 Mar 2023 • Núria Armengol Urpí, Marco Bagatella, Otmar Hilliges, Georg Martius, Stelian Coros

Real-world robotic manipulation tasks remain an elusive challenge, since they involve both fine-grained environment interaction, as well as the ability to plan for long-horizon goals.

Motion Planning Reinforcement Learning (RL) +1

Risk-Averse Offline Reinforcement Learning

1 code implementation • ICLR 2021 • Núria Armengol Urpí, Sebastian Curi, Andreas Krause

We demonstrate empirically that in the presence of natural distribution-shifts, O-RAAC learns policies with good average performance.

reinforcement-learning Reinforcement Learning (RL)