| 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 | 3125 | 2012 |
| Optimal feedback control as a theory of motor coordination E Todorov, MI Jordan Nature neuroscience 5 (11), 1226-1235, 2002 | 3099 | 2002 |
| Optimality principles in sensorimotor control E Todorov Nature neuroscience 7 (9), 907-915, 2004 | 1918 | 2004 |
| 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 | 689 | 2012 |
| 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 | 635 | 2005 |
| Iterative linear quadratic regulator design for nonlinear biological movement systems. W Li, E Todorov ICINCO (1), 222-229, 2004 | 597 | 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 | 518 | 2017 |
| Direct cortical control of muscle activation in voluntary arm movements: a model E Todorov Nature neuroscience 3 (4), 391-398, 2000 | 499 | 2000 |
| Evidence for the flexible sensorimotor strategies predicted by optimal feedback control D Liu, E Todorov Journal of Neuroscience 27 (35), 9354-9368, 2007 | 456 | 2007 |
| Discovery of complex behaviors through contact-invariant optimization I Mordatch, E Todorov, Z Popović ACM Transactions on Graphics (TOG) 31 (4), 1-8, 2012 | 445 | 2012 |
| Efficient computation of optimal actions E Todorov Proceedings of the national academy of sciences 106 (28), 11478-11483, 2009 | 431 | 2009 |
| Linearly-solvable Markov decision problems E Todorov Advances in neural information processing systems 19, 2006 | 408 | 2006 |
| Stochastic optimal control and estimation methods adapted to the noise characteristics of the sensorimotor system E Todorov Neural computation 17 (5), 1084-1108, 2005 | 402 | 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 | 394 | 1997 |
| Control-limited differential dynamic programming Y Tassa, N Mansard, E Todorov 2014 IEEE International Conference on Robotics and Automation (ICRA), 1168-1175, 2014 | 376 | 2014 |
| Optimal control theory E Todorov Bayesian brain: probabilistic approaches to neural coding, 268-298, 2006 | 274 | 2006 |
| 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 | 252 | 2015 |
| Towards generalization and simplicity in continuous control A Rajeswaran, K Lowrey, EV Todorov, SM Kakade Advances in Neural Information Processing Systems 30, 2017 | 237 | 2017 |
| Structured variability of muscle activations supports the minimal intervention principle of motor control FJ Valero-Cuevas, M Venkadesan, E Todorov Journal of neurophysiology 102 (1), 59-68, 2009 | 233 | 2009 |
| 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 | 228 | 2016 |
