Shahabedin Sagheb

Civil: causal and intuitive visual imitation learning

Abstract Today’s robots attempt to learn new tasks by imitating human examples. These robots watch the human complete the task, and then try to match the actions taken by the human expert. However, this standard approach to visual imitation learning is fundamentally limited: the...

Counterfactual Behavior Cloning: Offline Imitation Learning from Imperfect Human Demonstrations

Learning from humans is challenging because people are imperfect teachers. When everyday humans show the robot a new task they want it to perform, humans inevitably make errors (e.g., inputting noisy actions) and provide suboptimal examples (e.g., overshooting the goal). Existing...