Nguyen Dinh Truong Huy |
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I am currently working as a Research Engineer at Living Analytics Research Centre, SMU. Ph.D. Candidate AI Lab 3 (previously Medical Computing Lab) School of Computing, National University of Singapore Email: truong[h][u][y] @ gmail |
Collaborative Action Planner using Intention Recognition (CAPIR)
We address the Lead-Assistant Collaboration problem that characterizes an autonomous assistant aiding an agent in
achieving multiple goals in a known environment; the main source of uncertainty
is the agent's drifting intention and behavior model in achieving the goals.
We propose the CAPIR framework (Collaborative Action Planner using Intention
Recognition) to solve this problem by tracking the assisted agent's intention using inverse planning (a
concept inherited from cognitive science), and constructing actions based on the
assistant's belief on the agent's intended goal and its knowledge of solving each
goal (modeled as a Markov decision process). For complicated goals that yield large
planning space, simulation-based algorithms are devised to approximately solve the
goals online. Evaluation with human players in an experiment game shows that the
assistant's resultant course of actions is near human-level.
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