56 citations · 56 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Walking the Values in Bayesian Inverse Reinforcement Learning
Ondrej Bajgar, Alessandro Abate, Konstantinos Gatsis +1
The goal of Bayesian inverse reinforcement learning (IRL) is recovering a posterior distribution over reward functions using a set of demonstrations from an expert optimizing for a…
cs.CL2016★ 56 cited
Embracing data abundance: BookTest Dataset for Reading Comprehension
Ondrej Bajgar, Rudolf Kadlec, Jan Kleindienst
There is a practically unlimited amount of natural language data available. Still, recent work in text comprehension has focused on datasets which are small relative to current com…