Publications tagged "Continuous control"


Conferences

Multi-Task Hierarchical Imitation Learning for Home Automation

Roy Fox*, Ron Berenstein*, Ion Stoica, and Ken Goldberg

15th IEEE Conference on Automation Science and Engineering (CASE), 2019


Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, and Sylvain Calinon

13th International Workshop on the Algorithmic Foundations of Robotics (WAFR), 2018


Constraint Estimation and Derivative-Free Recovery for Robot Learning from Demonstrations

Jonathan Lee, Michael Laskey, Roy Fox, and Ken Goldberg

14th IEEE Conference on Automation Science and Engineering (CASE), 2018


Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure

Daniel Seita, Sanjay Krishnan, Roy Fox, Stephen McKinley, John Canny, and Ken Goldberg

35th IEEE International Conference on Robotics and Automation (ICRA), 2018


Robustly Adjusting Indoor Drip Irrigation Emitters with the Toyota HSR Robot

Ron Berenstein, Roy Fox, Stephen McKinley, Stefano Carpin, and Ken Goldberg

35th IEEE International Conference on Robotics and Automation (ICRA), 2018


DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations

Sanjay Krishnan*, Roy Fox*, Ion Stoica, and Ken Goldberg

1st Conference on Robot Learning (CoRL), 2017


Statistical Data Cleaning for Deep Learning of Automation Tasks from Demonstrations

Caleb Chuck, Michael Laskey, Sanjay Krishnan, Ruta Joshi, Roy Fox, and Ken Goldberg

13th IEEE Conference on Automation Science and Engineering (CASE), 2017


Minimum-Information LQG Control — Part I: Memoryless Controllers

Roy Fox and Naftali Tishby

55th IEEE Conference on Decision and Control (CDC), 2016


Minimum-Information LQG Control — Part II: Retentive Controllers

Roy Fox and Naftali Tishby

55th IEEE Conference on Decision and Control (CDC), 2016


A Multi-Agent Control Framework for Co-Adaptation in Brain-Computer Interfaces

Josh Merel*, Roy Fox*, Tony Jebara, and Liam Paninski

27th Annual Conference on Neural Information Processing Systems (NIPS), 2013


Workshops

Robot Learning with Invariant Hidden Semi-Markov Models

Ajay Kumar Tanwani, Jonathon Lee, Michael Laskey, Sanjay Krishnan, Roy Fox, and Ken Goldberg

Perspectives on Robot Learning: Imitation and Causality workshop (Causal Imit. @ RSS), 2018


Theses

Information-Theoretic Methods for Planning and Learning in Partially Observable Markov Decision Processes

Roy Fox

PhD Thesis, 2016