70 citations · 105 across the 12 of their papers we have counts for
4 papers · 1 filter
Imagination-Augmented Deep Learning for Goal Recognition
Thibault Duhamel, Mariane Maynard, Froduald Kabanza
Being able to infer the goal of people we observe, interact with, or read stories about is one of the hallmarks of human intelligence. A prominent idea in current goal-recognition…
Cost-Based Goal Recognition Meets Deep Learning
Mariane Maynard, Thibault Duhamel, Froduald Kabanza
The ability to observe the effects of actions performed by others and to infer their intent, most likely goals, or course of action, is known as a plan or intention recognition cog…
Anytime State-Based Solution Methods for Decision Processes with non-Markovian Rewards
Sylvie Thiebaux, Froduald Kabanza, John Slanley
A popular approach to solving a decision process with non-Markovian rewards (NMRDP) is to exploit a compact representation of the reward function to automatically translate the NMR…
Decision-Theoretic Planning with non-Markovian Rewards
C. Gretton, F. Kabanza, D. Price +2
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decision-theoretic…