Emanuel Todorov

Aggregation methods for linearly-solvable MDPs

M. Zhong, E. TodorovWorld Congress of the International Federation of Automatic Control, 2011.

A unifying framework for linearly-solvable control

K. Dvijotham, E. TodorovUncertainty in Artificial Intelligence, 2011.

Finding the most likely trajectories of optimally-controlled stochastic systems

E. TodorovWorld Congress of the International Federation of Automatic Control, 2011.

High-order local dynamic programming

Y. Tassa, E. TodorovIEEE Adaptive Dynamic Programming and Reinforcement Learning, 2011.

Inverse optimality design for biological movement systems

W. Li, E. Todorov, D. LiuWorld Congress of the International Federation of Automatic Control, 2011.

Moving least-squares approximations for linearly-solvable stochastic optimal control problems

M. Zhong, E. TodorovJournal of Control Theory Applications 9, 2011.

Neuromuscular stochastic optimal control of a tendon-driven index finger model

E. Theodorou, E. Todorov, F. Valero-CuevasAmerican Control Conference, 2011.

A first optimal control solution for a complex, nonlinear, tendon driven neuromuscular finger model

E. Theodorou, E. Todorov, F. Valero-CuevasASME Summer Bioengineering Conference, 2010.

Identification and control of a pneumatic robot

E. Todorov, C. Hu, A. Simpkins, J. MovellanIEEE BioRob, 2010.

Inverse optimal control with linearly-solvable MDPs

K. Dvijotham, T. E.International Conference on Machine Learning, 2010.

Policy gradients in linearly-solvable MDPs

E. TodorovAdvances in Neural Information Processing Systems, 2010.

Position estimation and control of compact BLDC motors based on analog linear Hall effect sensors

A. Simpkins, E. TodorovAmerican Control Conference, 2010.

Stochastic differential dynamic programming

E. Theodorou, Y. Tassa, E. TodorovAmerican Control Conference, 2010.

Inverse Optimal Control with Linearly Solvable MDPs

K. Dvijotham, E. TodorovInternational Conference on Machine Learning, 2010.

Compositionality of optimal control laws

E. TodorovAdvances in Neural Information Processing Systems, 2009.

Efficient computation of optimal actions

TodorovProceedings of the National Academy of Science 106, 2009.

Eigenfunction approximation methods for linearly-solvable optimal control problems

E. TodorovIEEE Adaptive Dynamic Programming and Reinforcement Learning, 2009.

Hierarchical optimal control of a 7-DOF arm model

D. Liu, E. TodorovIEEE Adaptive Dynamic Programming and Reinforcement Learning, 2009.

Iterative local dynamic programming

E. Todorov, Y. TassaIEEE Adaptive Dynamic Programming and Reinforcement Learning, 2009.

Practical numerical methods for stochastic optimal control of biological systems in continuous time and space

A. Simpkins, E. TodorovIEEE Adaptive Dynamic Programming and Reinforcement Learning, 2009.

Real-time motor control using recurrent neural networks

D. Huh, E. TodorovIEEE Adaptive Dynamic Programming and Reinforcement Learning, 2009.

Structured variability of muscle activations supports the minimal intervention principle of motor control

F. Valero-Cuevas, M. Venkadesan, E. TodorovJournal of Neurophysiology 102, 2009.

General duality between optimal control and estimation

E. TodorovIEEE Conference on Decision and Control, 2008.

Optimal trade-off between exploration and exploitation

A. Simpkins, R. Callafon, E. TodorovAmerican Control Conference, 2008.

Parallels between sensory and motor information processing

E. TodorovThe Cognitive Neurosciences, 4th ed.MIT Press, 2008.

Evidence for the flexible sensorimotor strategies predicted by optimal feedback control

D. Liu, E. TodorovJournal of Neuroscience 27, 2007.

Predicting reaching targets from human EEG

P. Hammon, S. Makeig, E. Poizner, V. SaIEEE Signal Processing Magazine 25, 2007.

State estimation with finite signals-to-noise models via linear matrix inequalities

W. Li, R. Skelton, E. TodorovJournal of Dynamic Systems, Measurement and Control 129, 2007.

Imitiation learning for reaching and grasping in virtual environments

N. Singh, E. TodorovInternational Conference on Development and Learning, 2006.

Iterative optimal control and estimation design for nonlinear stochastic systems

W. Li, E. TodorovIEEE Conference on Decision and Control, 2006.

Linearly-solvable Markov decision problems

E. TodorovAdvances in Neural Information Processing Systems, 2006.

Optimal control theory

E. TodorovBayesian Brain: Probabilistic Approaches to Neural CodingMIT Press, 2006.

Estimation and control of systems with multiplicative noise via linear matrix inequalities

W. Li, R. Skelton, E. TodorovAmerican Control Conference, 2005.

Hierarchical feedback and learning for multi-joint arm movement control

W. Li, E. Todorov, X. PanIEEE Engineering in Medicine and Biology, 2005.

Towards an integrated systems for estimating multi-joint movement from diverse sensor data

X. Pan, E. Todorov, W. LiIEEE Engineering in Medicine and Biology, 2005.

Analysis of the synergies underlying complex hand manipulation

E. Todorov, Z. GhahramaniIEEE Engineering in Medicine and Biology, 2004.

Development of clinician-friendly software for musculoskeletal modeling and control

R. Davoodi, C. Urata, E. Todorov, G. LoebIEEE Engineering in Medicine and Biology, 2004.

Hierarchical optimal control of redundant biomechanical systems

W. Li, E. Todorov, X. PanIEEE Engineering in Medicine and Biology, 2004.

Iterative linear-quadratic regulator design for nonlinear biological movement systems

W. Li, E. TodorovInternational Conference on Informatics in Control, Automation and Robotics, 2004.

Optimality principles in sensorimotor control

E. TodorovNature Neuroscience 7, 2004.

A minimal intervention principle for coordinated movement

E. Todorov, M. JordanAdvances in Neural Information Processing Systems, 2003.

On the role of primary motor cortex in arm movement control

E. TodorovProgress in Motor Control IIIHuman Kinetics, 2003.

Optimal control methods suitable for biomechanical systems

E. Todorov, W. LiIEEE Engineering in Medicine and Biology, 2003.

Unsupervised learning of sensory-motor primitives

E. Todorov, Z. GhahramaniIEEE Engineering in Medicine and Biology, 2003.

A biomechanical model of the partially paralyzed human arm

R. Davoodi, I. Brown, E. Todorov, G. LoebAnnual Conference of the International Functional Electric Stimulation Society, 2002.

Cosine tuning minimizes motor errors

E. TodorovNeural Computation 14, 2002.

Optimal feedback control as a theory of motor coordination

E. Todorov, M. JordanNature Neuroscience 5, 2002.

Use of virtual environments in motor learning and rehabilitation

M. Holden, E. TodorovHandbook of Virtual EnvironmentsLawrence Erlbaum Associates, 2002.

One motor cortex, two different views

E. TodorovNature Neuroscience 3, 2000.

Virtual environment training improves motor performance in two patients with stroke

M. Holden, E. Todorov, J. Callahan, E. BizziNeurology Report 23, 1999.

A local circuit integration approach to understanding visual cortical receptive fields

D. Somers, E. Todorov, A. SiapasComputational Neuroscience, 1997.

A model of recurrent interactions in primary visual cortex

E. Todorov, A. Siapas, D. SomersAdvances in Neural Information Processing Systems, 1997.

Augmented feedback presented in a virtual environment accelerates learning of a difficult motor task

E. Todorov, R. Shadmehr, E. BizziJournal of Motor Behavior 29, 1997.

Modeling visual cortical contrast adaptation effects

E. Todorov, A. Siapas, D. Somers, S. NelsonComputational Neuroscience, 1997.

Variable gain control in local cortical circuitry supports context-dependent modulation by long-range connections

D. Somers, L. Toth, E. TodorovLateral Interactions in Cortex - Structure and FunctionOnline Book, 1996.

Catastrophic interference in human motor learning

T. Brashers-Krug, R. Shadmehr, E. TodorovAdvances in Neural Information Processing Systems, 1995.

Factorial learning by clustering features

J. Tenenbaum, E. TodorovAdvances in Neural Information Processing Systems, 1995.