Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Manela, Binyamin"'
Autor:
Manela, Binyamin, Biess, Armin
Learning complex tasks from scratch is challenging and often impossible for humans as well as for artificial agents. A curriculum can be used instead, which decomposes a complex task (target task) into a sequence of source tasks (the curriculum). Eac
Externí odkaz:
http://arxiv.org/abs/2008.09377
The development of autonomous robotic systems that can learn from human demonstrations to imitate a desired behavior - rather than being manually programmed - has huge technological potential. One major challenge in imitation learning is the correspo
Externí odkaz:
http://arxiv.org/abs/2003.02638
Autor:
Manela, Binyamin
Learning optimal policies from sparse feedback is a known challenge in reinforcement learning. Hindsight Experience Replay (HER) is a multi-goal reinforcement learning algorithm that comes to solve such tasks. The algorithm treats every failure as a
Externí odkaz:
http://arxiv.org/abs/2001.03877
Autor:
Manela, Binyamin, Biess, Armin
Hindsight Experience Replay (HER) is a multi-goal reinforcement learning algorithm for sparse reward functions. The algorithm treats every failure as a success for an alternative (virtual) goal that has been achieved in the episode. Virtual goals are
Externí odkaz:
http://arxiv.org/abs/1905.05498