Search Results for author: Amnon Attali

Found 3 papers, 1 papers with code

A Framework for Guided Motion Planning

no code implementations4 Apr 2024 Amnon Attali, Stav Ashur, Isaac Burton Love, Courtney McBeth, James Motes, Marco Morales, Nancy M. Amato

Randomized sampling based algorithms are widely used in robot motion planning due to the problem's intractability, and are experimentally effective on a wide range of problem instances.

Motion Planning

Evaluating Guiding Spaces for Motion Planning

no code implementations16 Oct 2022 Amnon Attali, Stav Ashur, Isaac Burton Love, Courtney McBeth, James Motes, Diane Uwacu, Marco Morales, Nancy M. Amato

Randomized sampling based algorithms are widely used in robot motion planning due to the problem's intractability, and are experimentally effective on a wide range of problem instances.

Motion Planning

Discrete State-Action Abstraction via the Successor Representation

1 code implementation7 Jun 2022 Amnon Attali, Pedro Cisneros-Velarde, Marco Morales, Nancy M. Amato

While the difficulty of reinforcement learning problems is typically related to the complexity of their state spaces, Abstraction proposes that solutions often lie in simpler underlying latent spaces.

Reinforcement Learning (RL) Transfer Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.