Objective learning from human demonstrations

[1]  Peter A. Beling,et al.  Inverse reinforcement learning with Gaussian process , 2011, Proceedings of the 2011 American Control Conference.

[2]  Timothy Bretl,et al.  Inverse optimal control for differentially flat systems with application to locomotion modeling , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[3]  Katja D. Mombaur,et al.  Inverse optimal control based identification of optimality criteria in whole-body human walking on level ground , 2016, 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob).

[4]  Stefano Ermon,et al.  Generative Adversarial Imitation Learning , 2016, NIPS.

[5]  Dana Kulic,et al.  Anthropomorphic Movement Analysis and Synthesis: A Survey of Methods and Applications , 2016, IEEE Transactions on Robotics.

[6]  Melanie N. Zeilinger,et al.  Predictive Modeling by Infinite-Horizon Constrained Inverse Optimal Control with Application to a Human Manipulation Task , 2018, ArXiv.

[7]  Dana H. Ballard,et al.  Modular inverse reinforcement learning for visuomotor behavior , 2013, Biological Cybernetics.

[8]  Christian Vollmer,et al.  Learning to navigate through crowded environments , 2010, 2010 IEEE International Conference on Robotics and Automation.

[9]  Henk Nijmeijer,et al.  Robot Programming by Demonstration , 2010, SIMPAR.

[10]  Pravesh Ranchod,et al.  Learning Options from Demonstration using Skill Segmentation , 2020, 2020 International SAUPEC/RobMech/PRASA Conference.

[11]  Kai Oliver Arras,et al.  Learning socially normative robot navigation behaviors with Bayesian inverse reinforcement learning , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[12]  Matthieu Geist,et al.  Inverse Reinforcement Learning through Structured Classification , 2012, NIPS.

[13]  Xiaodong Li,et al.  Learning a Super Mario controller from examples of human play , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

[14]  Joelle Pineau,et al.  Socially Adaptive Path Planning in Human Environments Using Inverse Reinforcement Learning , 2016, Int. J. Soc. Robotics.

[15]  Peter Englert,et al.  Inverse KKT - Learning Cost Functions of Manipulation Tasks from Demonstrations , 2017, ISRR.

[16]  M. Latash,et al.  Finger Coordination Under Artificial Changes in Finger Strength Feedback: A Study Using Analytical Inverse Optimization , 2011, Journal of motor behavior.

[17]  Gianni Ferretti,et al.  Generation of human walking paths , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[18]  Jean-Paul Laumond,et al.  From human to humanoid locomotion—an inverse optimal control approach , 2010, Auton. Robots.

[19]  Bernhard Schölkopf,et al.  Learning strategies in table tennis using inverse reinforcement learning , 2014, Biological Cybernetics.

[20]  Peter Englert,et al.  Learning manipulation skills from a single demonstration , 2018, Int. J. Robotics Res..

[21]  Wolfram Burgard,et al.  Socially compliant mobile robot navigation via inverse reinforcement learning , 2016, Int. J. Robotics Res..

[22]  Timothy Bretl,et al.  Inverse optimal control for deterministic continuous-time nonlinear systems , 2013, 52nd IEEE Conference on Decision and Control.

[23]  Christos Dimitrakakis,et al.  Preference elicitation and inverse reinforcement learning , 2011, ECML/PKDD.

[24]  Christos Dimitrakakis,et al.  Bayesian Multitask Inverse Reinforcement Learning , 2011, EWRL.

[25]  Marc Toussaint,et al.  Direct Loss Minimization Inverse Optimal Control , 2015, Robotics: Science and Systems.

[26]  E. Todorov,et al.  Inverse Optimality Design for Biological Movement Systems , 2011 .

[27]  Stefan Schaal,et al.  A Generalized Path Integral Control Approach to Reinforcement Learning , 2010, J. Mach. Learn. Res..

[28]  Mohamed Medhat Gaber,et al.  Imitation Learning , 2017, ACM Comput. Surv..

[29]  Matthieu Geist,et al.  A Cascaded Supervised Learning Approach to Inverse Reinforcement Learning , 2013, ECML/PKDD.

[30]  Han-Pang Huang,et al.  A mobile robot that understands pedestrian spatial behaviors , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[31]  Brett Browning,et al.  A survey of robot learning from demonstration , 2009, Robotics Auton. Syst..

[32]  Vincent Bonnet,et al.  Human Arm Motion Analysis Based on the Inverse Optimization Approach , 2018, 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob).

[33]  Stephen P. Boyd,et al.  Imputing a convex objective function , 2011, 2011 IEEE International Symposium on Intelligent Control.

[34]  Abdelkader El Kamel,et al.  Neural inverse reinforcement learning in autonomous navigation , 2016, Robotics Auton. Syst..

[35]  Dmitry Berenson,et al.  Learning Constraints From Locally-Optimal Demonstrations Under Cost Function Uncertainty , 2020, IEEE Robotics and Automation Letters.

[36]  Sergey Levine,et al.  Nonlinear Inverse Reinforcement Learning with Gaussian Processes , 2011, NIPS.

[37]  Vladimir M. Zatsiorsky,et al.  Analytical and numerical analysis of inverse optimization problems: conditions of uniqueness and computational methods , 2011, Biological Cybernetics.

[38]  Martial Hebert,et al.  Activity Forecasting , 2012, ECCV.

[39]  Katja D. Mombaur,et al.  Humanoid gait generation in complex environments based on template models and optimality principles learned from human beings , 2018, Int. J. Robotics Res..

[40]  Stefan Schaal,et al.  A Robustness Analysis of Inverse Optimal Control of Bipedal Walking , 2019, IEEE Robotics and Automation Letters.

[41]  Kee-Eung Kim,et al.  Inverse Reinforcement Learning in Partially Observable Environments , 2009, IJCAI.

[42]  Jonathan Feng-Shun Lin,et al.  Inverse optimal control with time-varying objectives: application to human jumping movement analysis , 2020, Scientific Reports.

[43]  Johannes P. Schlöder,et al.  Estimating Parameters in Optimal Control Problems , 2012, SIAM J. Sci. Comput..

[44]  Stefan Schaal,et al.  Learning from Demonstration , 1996, NIPS.

[45]  Jonathan P. How,et al.  Bayesian Nonparametric Inverse Reinforcement Learning , 2012, ECML/PKDD.

[46]  Tristan Perez,et al.  Finite-horizon inverse optimal control for discrete-time nonlinear systems , 2018, Autom..

[47]  Dana Kulic,et al.  Human motion segmentation using cost weights recovered from inverse optimal control , 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).

[48]  B. Anderson,et al.  Nonlinear regulator theory and an inverse optimal control problem , 1973 .

[49]  J. Andrew Bagnell,et al.  Maximum margin planning , 2006, ICML.

[50]  Brahim Chaib-draa,et al.  Bootstrapping Apprenticeship Learning , 2010, NIPS.

[51]  Melanie N. Zeilinger,et al.  Convex Formulations and Algebraic Solutions for Linear Quadratic Inverse Optimal Control Problems , 2018, 2018 European Control Conference (ECC).

[52]  Hannes Sommer,et al.  Predicting actions to act predictably: Cooperative partial motion planning with maximum entropy models , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[53]  Aude Billard,et al.  An inverse optimization approach to understand human acquisition of kinematic coordination in bimanual fine manipulation tasks , 2020, Biological Cybernetics.

[54]  Han Zhang,et al.  Inverse Optimal Control for Finite-Horizon Discrete-time Linear Quadratic Regulator Under Noisy Output , 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

[55]  Oliver Kroemer,et al.  Structured Apprenticeship Learning , 2012, ECML/PKDD.

[56]  Gentiane Venture,et al.  Human arm optimal motion analysis in industrial screwing task , 2014, 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics.

[57]  Rohan R. Paleja,et al.  Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation , 2020, 2020 15th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[58]  Zoran Popović,et al.  Learning behavior styles with inverse reinforcement learning , 2010, SIGGRAPH 2010.

[59]  Sylvain Miossec,et al.  Gait analysis using optimality criteria imputed from human data , 2017 .

[60]  Fuchun Sun,et al.  Survey of imitation learning for robotic manipulation , 2019, International Journal of Intelligent Robotics and Applications.

[61]  Kee-Eung Kim,et al.  MAP Inference for Bayesian Inverse Reinforcement Learning , 2011, NIPS.

[62]  Pieter Abbeel,et al.  Apprenticeship learning via inverse reinforcement learning , 2004, ICML.

[63]  Jongeun Choi,et al.  Solutions to the Inverse LQR Problem With Application to Biological Systems Analysis , 2015, IEEE Transactions on Control Systems Technology.

[64]  Sebastian Thrun,et al.  Apprenticeship learning for motion planning with application to parking lot navigation , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[65]  Katja Mombaur,et al.  Forward and Inverse Optimal Control of Bipedal Running , 2013 .

[66]  J. Betts.  Survey of Numerical Methods for Trajectory Optimization , 1998 .

[67]  Scott Niekum,et al.  Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications , 2018, AAAI.

[68]  Jee-Hwan Ryu,et al.  Inverse discounted-based LQR algorithm for learning human movement behaviors , 2018, Applied Intelligence.

[69]  Katja Mombaur,et al.  On the Relevance of Common Humanoid Gait Generation Strategies in Human Locomotion: An Inverse Optimal Control Approach , 2017 .

[70]  Midhun P Unni,et al.  Neuromechanical Cost Functionals Governing Motor Control for Early Screening of Motor Disorders , 2017, Front. Bioeng. Biotechnol..

[71]  Sergey Levine,et al.  Feature Construction for Inverse Reinforcement Learning , 2010, NIPS.

[72]  Siddhartha S. Srinivasa,et al.  Planning-based prediction for pedestrians , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[73]  Csaba Szepesvári,et al.  Training parsers by inverse reinforcement learning , 2009, Machine Learning.

[74]  Siddhartha S. Srinivasa,et al.  Imitation learning for locomotion and manipulation , 2007, 2007 7th IEEE-RAS International Conference on Humanoid Robots.

[75]  Aude Billard,et al.  Donut as I do: Learning from failed demonstrations , 2011, 2011 IEEE International Conference on Robotics and Automation.

[76]  Pieter Abbeel,et al.  Autonomous Helicopter Aerobatics through Apprenticeship Learning , 2010, Int. J. Robotics Res..

[77]  Jonathan P. How,et al.  Scalable reward learning from demonstration , 2013, 2013 IEEE International Conference on Robotics and Automation.

[78]  Mark L Latash,et al.  An analytical approach to the problem of inverse optimization with additive objective functions: an application to human prehension , 2010, Journal of mathematical biology.

[79]  Pieter Abbeel,et al.  Apprenticeship learning for helicopter control , 2009, CACM.

[80]  Gentiane Venture,et al.  Analysis of Affective Human Motion During Functional Task Performance: An Inverse Optimal Control Approach , 2019, 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids).

[81]  Kee-Eung Kim,et al.  Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions , 2012, NIPS.

[82]  Mohsen Davoudi,et al.  From inverse optimal control to inverse reinforcement learning: A historical review , 2020, Annu. Rev. Control..

[83]  C. K. Liu,et al.  Learning physics-based motion style with nonlinear inverse optimization , 2005, SIGGRAPH 2005.

[84]  Sonia Chernova,et al.  Recent Advances in Robot Learning from Demonstration , 2020, Annu. Rev. Control. Robotics Auton. Syst..

[85]  Michael H. Bowling,et al.  Apprenticeship learning using linear programming , 2008, ICML '08.

[86]  Hui Qian,et al.  Convergence analysis of an incremental approach to online inverse reinforcement learning , 2011, Journal of Zhejiang University SCIENCE C.

[87]  Jan Peters,et al.  Reinforcement learning in robotics: A survey , 2013, Int. J. Robotics Res..

[88]  Gergely V. Záruba,et al.  Inverse reinforcement learning for decentralized non-cooperative multiagent systems , 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[89]  Miaoliang Zhu,et al.  Modified reward function on abstract features in inverse reinforcement learning , 2010, Journal of Zhejiang University SCIENCE C.

[90]  Timothy Bretl,et al.  A convex approach to inverse optimal control and its application to modeling human locomotion , 2012, 2012 IEEE International Conference on Robotics and Automation.

[91]  Zhen Kan,et al.  Skill transfer learning for autonomous robots and human-robot cooperation: A survey , 2020, Robotics Auton. Syst..

[92]  Dirk Wollherr,et al.  An Inverse Optimal Control Approach to Explain Human Arm Reaching Control Based on Multiple Internal Models , 2018, Scientific Reports.

[93]  Said M. Megahed,et al.  Adaptive learning of human motor behaviors: An evolving inverse optimal control approach , 2016, Eng. Appl. Artif. Intell..

[94]  Er Meng Joo,et al.  A survey of inverse reinforcement learning techniques , 2012 .

[95]  Michael Ulbrich,et al.  A bilevel optimization approach to obtain optimal cost functions for human arm movements , 2012 .

[96]  Marco Pavone,et al.  Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models , 2017, Robotics: Science and Systems.

[97]  Pedro U. Lima,et al.  Inverse reinforcement learning with evaluation , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[98]  Katja Mombaur,et al.  Inverse Optimal Control as a Tool to Understand Human Movement , 2017, Geometric and Numerical Foundations of Movements.

[99]  Hsien-I Lin,et al.  ACTIVE INTENTION INFERENCE FOR ROBOT-HUMAN COLLABORATION , 2017 .

[100]  David Silver,et al.  Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain , 2010, Int. J. Robotics Res..

[101]  Kian Hsiang Low,et al.  Inverse Reinforcement Learning with Locally Consistent Reward Functions , 2015, NIPS.

[102]  Francesco Nori,et al.  Evidence for Composite Cost Functions in Arm Movement Planning: An Inverse Optimal Control Approach , 2011, PLoS Comput. Biol..

[103]  Timothy Bretl,et al.  Maximum entropy inverse reinforcement learning in continuous state spaces with path integrals , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[104]  Dana Kulic,et al.  Inverse Optimal Control for Multiphase Cost Functions , 2019, IEEE Transactions on Robotics.

[105]  Scott Niekum,et al.  Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations , 2019, CoRL.