8 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.AI2023
Utilization of domain knowledge to improve POMDP belief estimation
Tung Nguyen, Johane Takeuchi
The partially observable Markov decision process (POMDP) framework is a common approach for decision making under uncertainty. Recently, multiple studies have shown that by integra…
cs.LG2012★ 8 cited
Apprenticeship Learning for Model Parameters of Partially Observable Environments
Takaki Makino, Johane Takeuchi
We consider apprenticeship learning, i.e., having an agent learn a task by observing an expert demonstrating the task in a partially observable environment when the model of the en…