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Approaches to goal recognition have progressively relaxed the requirements about the amount of domain knowledge and available observations, yielding accurate and efficient algorithms capable of recognizing goals.
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Learning long-term dependencies with gradient descent is difficult
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Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol · 2008
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Plan recognition as planning
M Ramírez and H Geffner · 2009
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Proactive Assistant Agents: Papers from the AAAI Fall Symposium
Felipe Meneguzzi and Jean Oh · 2010
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Probabilistic Plan Recognition Using Off-the-Shelf Classical Planners
Miquel Ramírez and Hector Geffner · 2010
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A review of machine learning for automated planning
Sergio Jiménez, Tomás de la Rosa, Susana Fernández, Fernando Fernández, and Daniel Borrajo · 2012
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A Survey of the Game “Lights Out!”
Rudolf Fleischer and Jiajin Yu · 2013
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A Concise Introduction to Models and Methods for Automated Planning
Hector Geffner and Blai Bonet · 2013
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From feedforward to recurrent lstm neural networks for language modeling
Martin Sundermeyer, Hermann Ney, and Ralf Schlüter · 2015
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Deep learning for stock prediction using numerical and textual information
Ryo Akita, Akira Yoshihara, Takashi Matsubara, and Kuniaki Uehara · 2016
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Landmark-based Plan Recognition
Ramon Fraga Pereira and Felipe Meneguzzi · 2016
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Plan Recognition as Planning Revisited
S Sohrabi, A V Riabov, and O Udrea · 2016
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Hybrid Activity and Plan Recognition for Video Streams
Roger Granada, Ramon Fraga Pereira, Juarez Monteiro, Rodrigo Barros, Duncan Ruiz, and Felipe Meneguzzi · 2017
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Goal and plan recognition datasets using classical planning domains
Ramon Fraga Pereira and Felipe Meneguzzi · 2017
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Dealing with ambiguity in plan recognition under time constraints
Moser Fagundes, Felipe Meneguzzi, Rafael H. Bordini, and Renata Vieira · 2014
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Deep learning-based goal recognition in open-ended digital games
Wookhee Min, Eunyoung Ha, Jonathan P. Rowe, Bradford W. Mott, and James C. Lester · 2014
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Plan, Activity, and Intent Recognition: Theory and Practice
Gita Sukthankar, Robert P Goldman, Christopher Geib, David V Pynadath, and Hung Hai Bui · 2014
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A Fast Goal Recognition Technique Based on Interaction Estimates
Yolanda E Martín, María D R Moreno, and David E Smith · 2015
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Landmark-Based Heuristics for Goal Recognition
Ramon Fraga Pereira, Nir Oren, and Felipe Meneguzzi · 2017
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Goal recognition in latent space
Leonardo Amado, Ramon F Pereira, João P Aires, Mauricio Magnaguagno, Roger Granada, and Felipe Meneguzzi · 2018
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Classical planning in deep latent space: Bridging the subsymbolic-symbolic boundary
Masataro Asai and Alex Fukunaga · 2018
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A novel iterative approach to top-k planning
Michael Katz, Shirin Sohrabi, Octavian Udrea, and Dominik Winterer · 2018
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