Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Blies, Patrick M."'
The ongoing transition to renewable energy is increasing the share of fluctuating power sources like wind and solar, raising power grid volatility and making grid operation increasingly complex and costly. In our prior work, we have introduced a cong
Externí odkaz:
http://arxiv.org/abs/2302.07654
The energy sector is facing rapid changes in the transition towards clean renewable sources. However, the growing share of volatile, fluctuating renewable generation such as wind or solar energy has already led to an increase in power grid congestion
Externí odkaz:
http://arxiv.org/abs/2211.05612
Autor:
Patil, Vihang P., Hofmarcher, Markus, Dinu, Marius-Constantin, Dorfer, Matthias, Blies, Patrick M., Brandstetter, Johannes, Arjona-Medina, Jose A., Hochreiter, Sepp
Reinforcement learning algorithms require many samples when solving complex hierarchical tasks with sparse and delayed rewards. For such complex tasks, the recently proposed RUDDER uses reward redistribution to leverage steps in the Q-function that a
Externí odkaz:
http://arxiv.org/abs/2009.14108
Publikováno v:
ASP Conference Series; 2015, p191-196, 6p
