Mujoco: A physics engine for model-based control E Todorov, T Erez, Y Tassa 2012 IEEE/RSJ international conference on intelligent robots and systems …, 2012 | 6268 | 2012 |
Optimal feedback control as a theory of motor coordination E Todorov, MI Jordan Nature neuroscience 5 (11), 1226-1235, 2002 | 3613 | 2002 |
Optimality principles in sensorimotor control E Todorov Nature neuroscience 7 (9), 907-915, 2004 | 2193 | 2004 |
Learning complex dexterous manipulation with deep reinforcement learning and demonstrations A Rajeswaran, V Kumar, A Gupta, G Vezzani, J Schulman, E Todorov, ... arXiv preprint arXiv:1709.10087, 2017 | 1141 | 2017 |
Synthesis and stabilization of complex behaviors through online trajectory optimization Y Tassa, T Erez, E Todorov 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 1019 | 2012 |
Iterative linear quadratic regulator design for nonlinear biological movement systems W Li, E Todorov First International Conference on Informatics in Control, Automation and …, 2004 | 872 | 2004 |
A generalized iterative LQG method for locally-optimal feedback control of constrained nonlinear stochastic systems E Todorov, W Li Proceedings of the 2005, American Control Conference, 2005., 300-306, 2005 | 802 | 2005 |
Control-limited differential dynamic programming Y Tassa, N Mansard, E Todorov 2014 IEEE International Conference on Robotics and Automation (ICRA), 1168-1175, 2014 | 590 | 2014 |
Discovery of complex behaviors through contact-invariant optimization I Mordatch, E Todorov, Z Popović ACM Transactions on Graphics (ToG) 31 (4), 1-8, 2012 | 589 | 2012 |
Direct cortical control of muscle activation in voluntary arm movements: a model E Todorov Nature neuroscience 3 (4), 391-398, 2000 | 539 | 2000 |
Efficient computation of optimal actions E Todorov Proceedings of the national academy of sciences 106 (28), 11478-11483, 2009 | 533 | 2009 |
Linearly-solvable Markov decision problems E Todorov Advances in neural information processing systems 19, 2006 | 532 | 2006 |
Evidence for the flexible sensorimotor strategies predicted by optimal feedback control D Liu, E Todorov Journal of Neuroscience 27 (35), 9354-9368, 2007 | 509 | 2007 |
Stochastic optimal control and estimation methods adapted to the noise characteristics of the sensorimotor system E Todorov Neural computation 17 (5), 1084-1108, 2005 | 474 | 2005 |
Augmented feedback presented in a virtual environment accelerates learning of a difficult motor task E Todorov, R Shadmehr, E Bizzi Journal of motor behavior 29 (2), 147-158, 1997 | 455 | 1997 |
Simulation tools for model-based robotics: Comparison of bullet, havok, mujoco, ode and physx T Erez, Y Tassa, E Todorov 2015 IEEE international conference on robotics and automation (ICRA), 4397-4404, 2015 | 421 | 2015 |
On stochastic optimal control and reinforcement learning by approximate inference K Rawlik, M Toussaint, S Vijayakumar | 371 | 2013 |
Towards generalization and simplicity in continuous control A Rajeswaran, K Lowrey, EV Todorov, SM Kakade Advances in neural information processing systems 30, 2017 | 354 | 2017 |
Optimal control theory E Todorov | 339 | 2006 |
Design of a highly biomimetic anthropomorphic robotic hand towards artificial limb regeneration Z Xu, E Todorov 2016 IEEE International Conference on Robotics and Automation (ICRA), 3485-3492, 2016 | 325 | 2016 |