4 papers · 1 filter
Affordance Learning from Play for Sample-Efficient Policy Learning
Jessica Borja-Diaz, Oier Mees, Gabriel Kalweit +3
Robots operating in human-centered environments should have the ability to understand how objects function: what can be done with each object, where this interaction may occur, and…
Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction
Iman Nematollahi, Oier Mees, Lukas Hermann +1
A key challenge for an agent learning to interact with the world is to reason about physical properties of objects and to foresee their dynamics under the effect of applied forces.…
FlowControl: Optical Flow Based Visual Servoing
Max Argus, Lukas Hermann, Jon Long +1
One-shot imitation is the vision of robot programming from a single demonstration, rather than by tedious construction of computer code. We present a practical method for realizing…
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control
Lukas Hermann, Max Argus, Andreas Eitel +3
We propose Adaptive Curriculum Generation from Demonstrations (ACGD) for reinforcement learning in the presence of sparse rewards. Rather than designing shaped reward functions, AC…