For robots to be useful outside labs and specialized factories we need a...
The ability to leverage heterogeneous robotic experience from different
...
Complex sequential tasks in continuous-control settings often require ag...
Inverse reinforcement learning is a paradigm motivated by the goal of
le...
Scaling model-based inverse reinforcement learning (IRL) to real robotic...
Contacts and friction are inherent to nearly all robotic manipulation ta...
Context plays a significant role in the generation of motion for dynamic...
Context plays a significant role in the generation of motion for dynamic...
Robots performing tasks in dynamic environments would benefit greatly fr...
This work evaluates the efficacy of adversarial robustness under transfe...