This paper develops a novel rating-based reinforcement learning approach...
In machine learning for sequential decision-making, an algorithmic agent...
To facilitate research in the direction of fine-tuning foundation models...
Preference-based reinforcement learning (PbRL) can enable robots to lear...
Cables are ubiquitous in many settings and it is often useful to untangl...
Simulation-to-reality transfer has emerged as a popular and highly succe...
Recent work has shown that 2-arm "fling" motions can be effective for ga...
For applications in healthcare, physics, energy, robotics, and many othe...
Effective robot learning often requires online human feedback and
interv...
Robot manipulation for untangling 1D deformable structures such as ropes...
Disentangling two or more cables requires many steps to remove crossings...
Corrective interventions while a robot is learning to automate a task pr...
Characterizing what types of exoskeleton gaits are comfortable for users...
Understanding users' gait preferences of a lower-body exoskeleton requir...
This paper presents a personalized gait optimization framework for lower...