An algorithmic perspective on imitation learning

Osa, Takayuki, Pajarinen, Joni, Neumann, Gerhard, Bagnell, J. Andrew, Abbeel, Pieter, Peters, Jan·2018·Foundations and Trends in Robotics

Cites (233)

Items 201–233 of 233

  1. Mimesis Model from Partial Observations for a Humanoid Robot
    Dongheui Lee, Yoshihiko Nakamura · 2009 · The International Journal of Robotics Research
  2. Reinforcement learning with limited reinforcement: Using Bayes risk for active learning in POMDPs
    Finale Doshi‐Velez, Joëlle Pineau, Nicholas Roy · 2012 · Artificial Intelligence
  3. Open-source benchmarking for learned reaching motion generation in robotics
    Andre Lemme, Yaron Meirovitch, Mohammad S. M. Khansari-Zadeh, Tamar Flash, Aude Billard, Jochen J. Steil · 2015 · Paladyn Journal of Behavioral Robotics
  4. Hierarchical Bayesian Inverse Reinforcement Learning
    Jaedeug Choi, Kee-Eung Kim · 2014 · IEEE Transactions on Cybernetics
  5. Direct Loss Minimization Inverse Optimal Control
    Andreas Doerr, Nathan Ratliff, Jeannette Bohg, Marc Toussaint, Stefan Schaal A · 2015 · Robotics: Science and Systems
  6. Improved Learning of Dynamics Models for Control
    Arun Venkatraman, Roberto Capobianco, Lerrel Pinto · 2017 · Springer proceedings in advanced robotics
  7. Real-time Unsupervised Segmentation of human whole-body motion and its application to humanoid robot acquisition of motion symbols
    Wataru Takano, Yoshihiko Nakamura · 2015 · Robotics and Autonomous Systems
  8. Inverse Game Theory: Learning Utilities in Succinct Games
    Volodymyr Kuleshov, Okke Schrijvers · 2015 · Lecture notes in computer science
  9. Toward a Dancing Robot With Listening Capability: Keypose-Based Integration of Lower-, Middle-, and Upper-Body Motions for Varying Music Tempos
    Takahiro Okamoto, Takaaki Shiratori, Shunsuke Kudoh · 2014 · IEEE Transactions on Robotics
  10. Supervisory teleoperation with online learning and optimal control
    Ioannis Havoutis, Sylvain Calinon · 2017 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  11. HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks with Delayed Rewards
    Sanjay Krishnan, Animesh Garg, Richard Liaw, Lauren Miller, Florian T. Pokorny, Ken Y. Goldberg · 2016 · arXiv (Cornell University)
  12. Learning in modular systems
    James Andrew Bagnell, David M. Bradley · 2010
  13. Computational Rationalization: The Inverse Equilibrium Problem
    Kevin Waugh, Brian D. Ziebart, James Andrew Bagnell · 2011 · arXiv (Cornell University)
  14. Multi-Robot Inverse Reinforcement Learning under Occlusion with Interactions
    Kenneth Bogert, Prashant Doshi · 2015
  15. Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain
    David Silver, James Andrew Bagnell, Anthony Stentz · 2010
  16. Boosted Backpropagation Learning for Training Deep Modular Networks
    Alexander Grubb, James Andrew Bagnell · 2010
  17. Information geometry and its applications
    Felix Opitz · 2012
  18. Incremental imitation learning of context-dependent motor skills
    Marco Ewerton, Guilherme Jorge Maeda, Gerrit Kollegger · 2016 · IEEE-RAS International Conference on Humanoid Robots (Humanoids)
  19. Statistical reinforcement learning : modern machine learning approaches
    将 杉山 · 2015 · CRC Press eBooks
  20. Structured Apprenticeship Learning
    Abdeslam Boularias, Oliver Krömer, Jan Peters · 2012 · Lecture notes in computer science
  21. Learning robotic eye–arm–hand coordination from human demonstration: a coupled dynamical systems approach
    Luka Lukic, José Santos-Victor, Aude Billard · 2014 · Biological Cybernetics
  22. Man-Machine Co-operation on a Learning Task
    Roger A. Chambers, Donald Michie · 1969 · Springer eBooks
  23. Conditional Density Estimation with Dimensionality Reduction via Squared-Loss Conditional Entropy Minimization
    Voot Tangkaratt, Ning Xie, Masashi Sugiyama · 2014 · Neural Computation
  24. A non-rigid point and normal registration algorithm with applications to learning from demonstrations
    Lee, Alex X., Goldstein, Max A., Barratt, Shane T., Abbeel, Pieter · 2015 · 2015 IEEE International Conference on Robotics and Automation (ICRA)
  25. Iterative Noise Injection for Scalable Imitation Learning.
    Michael Laskey, Jonathan Lee, Wesley Yu-Shu Hsieh · 2017 · arXiv (Cornell University)
  26. OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning
    Peter Henderson, Wei-Di Chang, Pierre‐Luc Bacon, David Meger, Joëlle Pineau, Doina Precup · 2018 · Proceedings of the AAAI Conference on Artificial Intelligence
  27. Programming full-body movements for humanoid robots by observation
    Aleš Ude · 2004 · Robotics and Autonomous Systems
  28. Toward Estimating Others ’ Transition Models Under Occlusion for Multi-Robot IRL
    Kenneth Bogert, Prashant Doshi · 2016
  29. Configurations of the Graf-Boklev (V-Style) SKI Jumper Model and Aerodynamic Parameters in a Wind Tunnel
    Jerzy Maryniak, Edyta Ładyżyńska-Kozdraś, Sławomir Tomczak · 2009 · Human Movement
  30. Planning of goal-oriented motion from stochastic motion primitives and optimal controlling of joint torques in whole-body
    Wataru Takano, Yoshihiko Nakamura · 2017 · Robotics and Autonomous Systems
  31. Man-Machine Co-operation on a Learning Task
    Roger A. Chambers, Donald Michie · 1969 · Springer eBooks
  32. Behavioral Cloning A Correction
    Rui Carlos Camacho, Donald Michie · 1995 · AI Magazine
  33. Optimal control and inverse optimal control by distribution matching
    Oleg Arenz, Hany Abdulsamad, Gerhard M. Neumann · 2016 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)