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Controlled gliding and perching through deep-reinforcement-learning

Controlled gliding and perching through deep-reinforcement-learning

https://softmath.seas.harvard.edu/wp-content/uploads/2019/10/medium_1.png 320 500 Academic Web Pages /wp-content/uploads/2018/09/clear.png Academic Web Pages2019-10-05 15:16:002025-02-27 15:13:19Controlled gliding and perching through deep-reinforcement-learning

Recent Publications

Stigmergic optimal transport

Hamiltonian bridge for scale-dependent optimal control of particles and fields

Optimal bioelectric control accelerates collective wound healing

Surface wakes on ultra-soft solids

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Distributed neural computation and the evolution of the first brains

Self-organized adaptive branching in frangible matter

Reversible superdeformability of hiPSC epithelial cortinoids

General integrated rate law for complex self-assembly reactions reveals the mechanism of amyloid-beta coaggregation

Viscous adhesion in vibrated sheets: elastohydrodynamics with inertia and compressibility effects

Harvard John A. Paulson School of Engineering and Applied Sciences
Harvard Department of Physics
Harvard Department of Organismic and Evolutionary Biology

Prof. L. Mahadevan
Pierce Hall 322
Harvard University
29 Oxford Street
Cambridge, MA 02138
lmahadev@g.harvard.edu
(617) 496-9599

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Genetic and Mechanical Regulation of Intestinal Smooth Muscle Development

Genetic and Mechanical Regulation of Intestinal Smooth Muscle Development

Size control of the inner ear via hydraulic feedback