Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Diaz, Manfred"'
Teacher-Student Curriculum Learning (TSCL) is a curriculum learning framework that draws inspiration from human cultural transmission and learning. It involves a teacher algorithm shaping the learning process of a learner algorithm by exposing it to
Externí odkaz:
http://arxiv.org/abs/2404.03084
Autor:
Gu, Shixiang Shane, Diaz, Manfred, Freeman, Daniel C., Furuta, Hiroki, Ghasemipour, Seyed Kamyar Seyed, Raichuk, Anton, David, Byron, Frey, Erik, Coumans, Erwin, Bachem, Olivier
The goal of continuous control is to synthesize desired behaviors. In reinforcement learning (RL)-driven approaches, this is often accomplished through careful task reward engineering for efficient exploration and running an off-the-shelf RL algorith
Externí odkaz:
http://arxiv.org/abs/2110.04686
Domain randomization is a popular technique for improving domain transfer, often used in a zero-shot setting when the target domain is unknown or cannot easily be used for training. In this work, we empirically examine the effects of domain randomiza
Externí odkaz:
http://arxiv.org/abs/1904.04762
Autor:
Zilly, Julian, Tani, Jacopo, Considine, Breandan, Mehta, Bhairav, Daniele, Andrea F., Diaz, Manfred, Bernasconi, Gianmarco, Ruch, Claudio, Hakenberg, Jan, Golemo, Florian, Bowser, A. Kirsten, Walter, Matthew R., Hristov, Ruslan, Mallya, Sunil, Frazzoli, Emilio, Censi, Andrea, Paull, Liam
Despite recent breakthroughs, the ability of deep learning and reinforcement learning to outperform traditional approaches to control physically embodied robotic agents remains largely unproven. To help bridge this gap, we created the 'AI Driving Oly
Externí odkaz:
http://arxiv.org/abs/1903.02503