5 papers
Agent Lifecycle Toolkit (ALTK): Reusable Middleware Components for Robust AI Agents
Zidane Wright, Jason Tsay, Anupama Murthi +8
As AI agents move from demos into enterprise deployments, their failure modes become consequential: a misinterpreted tool argument can corrupt production data, a silent reasoning e…
GRAIL: Goal Recognition Alignment through Imitation Learning
Osher Elhadad, Felipe Meneguzzi, Reuth Mirsky
Understanding an agent's goals from its behavior is fundamental to aligning AI systems with human intentions. Existing goal recognition methods typically rely on an optimal goal-or…
Online Dynamic Goal Recognition in Gym Environments
Shamir Matan, Elhadad Osher, Nageris Ben +1
Goal Recognition (GR) is the task of inferring an agent's intended goal from partial observations of its behavior, typically in an online and one-shot setting. Despite recent advan…
General Dynamic Goal Recognition using Goal-Conditioned and Meta Reinforcement Learning
Osher Elhadad, Owen Morrissey, Reuth Mirsky
Understanding an agent's goal through its behavior is a common AI problem called Goal Recognition (GR). This task becomes particularly challenging in dynamic environments where goa…
ODGR: Online Dynamic Goal Recognition
Matan Shamir, Osher Elhadad, Matthew E. Taylor +1
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 policy…