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Active Advice Seeking for Inverse Reinforcement Learning
Active Rescheduling for Goal Maintenance in
Actions in a Probabilistic Setting Reasoning about
Actions as Special Cases Selim T. Erdo˘gan and Vladimir Lifschitz
Actions as a Basic Software Concept in the Computation System Leonardo
action. Researchers from all areas of AI demonstrate their systems. Submis-
Action-Space Partitioning for Planning Natalia H. Gardiol, Leslie Pack Kaelbling
Action-Model Based Multi-agent Plan Recognition
Action-Model Acquisition from Noisy Plan Traces
Action-Model Acquisition from Noisy Plan Traces
Action-Centered Communication with an Embedded Agent
Action-Based Planning
Action Vectors for Interpreting Route Descriptions Junko Araki Takashi Ninomiya Takaki Makino
Action understanding as inverse planning Please share
Action Translation in Extensive-Form Games with Large Action Spaces:
Action Translation in Extensive-Form Games with Large Action Spaces:
Action Theory Contraction and Minimal Change Ivan Jos´e Varzinczak
Action Selection in Bayesian Reinforcement Learning Tao Wang
Action Selection for MDPs: Anytime AO* Versus UCT Blai Bonet Hector Geffner
ACTION RESEARCH
Action Recognition by Learning Mid-level Motion Features
Action Recognition by Hierarchical Sequence Summarization Please share
Action Classification Using Sequence Alignment and Shape Context and Eraldo Ribeiro
Action Selection and Vertical Plane Autonomous Underwater Vehicles
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