66 citations · 77 across the 4 of their papers we have counts for
5 papers
Training an Interactive Helper
Mark Woodward, Chelsea Finn, Karol Hausman
Developing agents that can quickly adapt their behavior to new tasks remains a challenge. Meta-learning has been applied to this problem, but previous methods require either specif…
Learning to Interactively Learn and Assist
Mark Woodward, Chelsea Finn, Karol Hausman
When deploying autonomous agents in the real world, we need effective ways of communicating objectives to them. Traditional skill learning has revolved around reinforcement and imi…
Active One-shot Learning
Mark Woodward, Chelsea Finn
Recent advances in one-shot learning have produced models that can learn from a handful of labeled examples, for passive classification and regression tasks. This paper combines re…
Framing Human-Robot Task Communication as a POMDP
Mark P. Woodward, Robert J. Wood
As general purpose robots become more capable, pre-programming of all tasks at the factory will become less practical. We would like for non-technical human owners to be able to co…
Learning from Humans as an I-POMDP
Mark P. Woodward, Robert J. Wood
The interactive partially observable Markov decision process (I-POMDP) is a recently developed framework which extends the POMDP to the multi-agent setting by including agent model…