Search Results for author:
Found 3 papers, 1 papers with code
EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data
We have expanded the performance of EfficientZero to multiple domains, encompassing both continuous and discrete actions, as well as visual and low-dimensional inputs.
Real-time scheduling of renewable power systems through planning-based reinforcement learning
The well-trained scheduling agent significantly reduces renewable curtailment and load shedding, which are issues arising from traditional scheduling's reliance on inaccurate day-ahead forecasts.
Mastering Atari Games with Limited Data
Recently, there has been significant progress in sample efficient image-based RL algorithms; however, consistent human-level performance on the Atari game benchmark remains an elusive goal.
Ranked #2 on
Atari Games 100k
on Atari 100k
