no code implementations • 4 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.
no code implementations • 16 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.
1 code implementation • 7 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.