Goal Recognition is the task of discerning the intended goal of an agent given a sequence of
observations, whereas Plan Recognition consists of identifying the plan to achieve such …

Recognising the goal of an agent from a trace of observations is an important task with many
applications. The state-of-the-art approach to goal recognition (GR) relies on the application …

Goal recognition is a crucial aspect of understanding the intentions and objectives of agents
by observing some of their actions. The most prominent approaches to goal recognition can …

The problem of goal recognition requests to automatically infer an accurate probability
distribution over possible goals an autonomous agent is attempting to achieve in the …

Goal Recognition is the task of inferring an agent's intentions from a set of observations.
Existing recognition approaches have made considerable advances in domains such as …

The problem of goal recognition involves inferring the high-level task goals of an agent
based on observations of its behavior in an environment. Current methods for achieving this …

Traditionally, Reinforcement Learning (RL) problems are aimed at optimization of the
behavior of an agent. This paper proposes a novel take on RL, which is used to learn the …

Earley Parser is a top-down parser proposed for context-free grammars and used, for
example, in the grammar constraint. Parsing trees of context-free grammars are very close to …

Devising models that reliably recognize player goals is a key challenge in creating player-
adaptive games. Player goal recognition is the task of automatically recognizing the intent of …

For an agent in a multi-agent environment, it is often beneficial to be able to predict what
other agents will do next when deciding how to act. Previous work in multi-agent intention …