Apr 12, 2019 · We propose an expressive class of policies, a strong but general prior, and a learning algorithm that, together, can learn interesting policies ...

We propose an expressive class of policies, a strong but general prior, and a learning algorithm that, together, can learn inter- esting policies from very few ...

Few-shot Bayesian Imitation Learning with Policies as Logic over Programs · System Requirements · Installation · Usage Example · About · Releases · Packages 0.

We argue that the proposed method is an apt choice for policy learning tasks that have scarce training data and feature significant, structured variation ...

Mar 18, 2020 · This paper introduces a bayesian imitation learning approach to learn policies from few demonstrations. They call these policies Logical ...

This work proposes an expressive class of policies, a strong but general prior, and a learning algorithm that, together, can learn interesting policies from ...

We propose an expressive class of policies, a strong but general prior, and a learning algorithm that, together, can learn interesting policies from very few ...

Duration: 2:52
Posted: Apr 12, 2019

We describe an expressive class of policies that can be efficiently learned from a few demonstrations. Policies are represented as logical combinations of ...

Nov 16, 2019 · Few-Shot Bayesian Imitation Learning with Logical Program Policies ... program-based policies to define the Logical Program Poli- cies (LPP) ...