2021
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding
RSS 2021poster
The ability to transfer a policy from one environment to another is a promising avenue for efficient robot learning in realistic settings where task supervision is not available. This can allow us to take advantage of environments well suited for training; such as simulators or laboratories; to lear…