3 citations · 3 across the 2 of their papers we have counts for
3 papers
Graph Inverse Reinforcement Learning from Diverse Videos
Sateesh Kumar, Jonathan Zamora, Nicklas Hansen +2
Research on Inverse Reinforcement Learning (IRL) from third-person videos has shown encouraging results on removing the need for manual reward design for robotic tasks. However, mo…
Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation
Rishabh Jangir, Nicklas Hansen, Sambaran Ghosal +2
Learning to solve precision-based manipulation tasks from visual feedback using Reinforcement Learning (RL) could drastically reduce the engineering efforts required by traditional…
Dynamic Cloth Manipulation with Deep Reinforcement Learning
Rishabh Jangir, Guillem Alenya, Carme Torras
In this paper we present a Deep Reinforcement Learning approach to solve dynamic cloth manipulation tasks. Differing from the case of rigid objects, we stress that the followed tra…