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Most current methods for learning from demonstrations assume that those demonstrations alone are sufficient to learn the underlying task.
The temporal logic of programs
Amir Pnueli · 1977
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Stefan Schaal, Jan Peters, Jun Nakanishi, and Auke Ijspeert · 2005
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A survey of robot learning from demonstration
Brenna D. Argall, Sonia Chernova, Manuela Veloso, and Brett Browning · 2009
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Robustness of temporal logic specifications for continuous-time signals
Georgios E. Fainekos and George J. Pappas · 2009
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Biologically-inspired dynamical systems for movement generation: automatic real-time goal adaptation and obstacle avoidance
Heiko Hoffmann, Peter Pastor, Dae-Hyung Park, and Stefan Schaal · 2009
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Robust satisfaction of temporal logic over real-valued signals
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Correct, reactive, high-level robot control
Hadas Kress-Gazit, Tichakorn Wongpiromsarn, and Ufuk Topcu · 2011
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Temporal logic robot mission planning for slow and fast actions
Vasumathi Raman, Cameron Finucane, and Hadas Kress-Gazit · 2012
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Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors
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Robust model predictive control for signal temporal logic synthesis
Samira S Farahani, Vasumathi Raman, and Richard M Murray · 2015
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Adam: A Method for Stochastic Optimization
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Paulo Tabuada and Daniel Neider · 2016
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Tom Silver, Kelsey Allen, Josh Tenenbaum, and Leslie Kaelbling · 2018
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A semantic loss function for deep learning with symbolic knowledge
Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, and Guy Van Den Broeck · 2018
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Synthesis of LTL formulas from natural language texts: State of the art and research directions
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Guiding policies with language via meta-learning
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DL2: Training and Querying Neural Networks with Logic
Marc Fischer, Mislav Balunovic, Dana Drachsler-Cohen, Timon Gehr, Ce Zhang, and Martin Vechev · 2019
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Affan Pervez, Yuecheng Mao, and Dongheui Lee · 2017
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Learning from demonstrations with high-level side information
Min Wen, Ivan Papusha, and Ufuk Topcu · 2017
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Model, Data and Reward Repair: Trusted Machine Learning for Markov Decision Processes
Shalini Ghosh, Susmit Jha, Ashish Tiwari, Patrick Lincoln, and Xiaojin Zhu · 2018
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Interpretable apprenticeship learning with temporal logic specifications
Daniel Kasenberg and Matthias Scheutz · 2018
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A policy search method for temporal logic specified reinforcement learning tasks
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Deep Encoder-Decoder Networks for Mapping Raw Images to Dynamic Movement Primitives
Rok Pahic, Andrej Gams, Ales Ude, and Jun Morimoto · 2018
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Disentangled Relational Representations for Explaining and Learning from Demonstration
Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, and Subramanian Ramamoorthy · 2019
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Robust control for signal temporal logic specifications using discrete average space robustness
Lars Lindemann and Dimos V Dimarogonas · 2019
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Arithmetic-geometric mean robustness for control from signal temporal logic specifications
Noushin Mehdipour, Cristian-Ioan Vasile, and Calin Belta · 2019
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Specification Patterns for Robotic Missions
Claudio Menghi, Christos Tsigkanos, Patrizio Pelliccione, Carlo Ghezzi, and Thorsten Berger · 2019
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Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration
Simon Stepputtis, Joseph Campbell, Mariano Phielipp, Chitta Baral, and Heni Ben Amor · 2019
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