Ioannis Exarchos

Orcid: 0000-0002-5836-4750

According to our database1, Ioannis Exarchos authored at least 22 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2022
Task-Specific Design Optimization and Fabrication for Inflated-Beam Soft Robots with Growable Discrete Joints.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Deep L<sup>1</sup> Stochastic Optimal Control Policies for Planetary Soft-landing.
CoRR, 2021

Fast and Feature-Complete Differentiable Physics for Articulated Rigid Bodies with Contact.
CoRR, 2021

Task-Specific Design Optimization and Fabrication for Inflated-Beam Soft Robots with Growable Discrete Joints.
CoRR, 2021

DASH: Modularized Human Manipulation Simulation with Vision and Language for Embodied AI.
Proceedings of the SCA '21: The ACM SIGGRAPH / Eurographics Symposium on Computer Animation, 2021

Fast and Feature-Complete Differentiable Physics Engine for Articulated Rigid Bodies with Contact Constraints.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Policy Transfer via Kinematic Domain Randomization and Adaptation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Large-Scale Multi-Agent Deep FBSDEs.
Proceedings of the 38th International Conference on Machine Learning, 2021

NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Multi-agent Deep FBSDE Representation For Large Scale Stochastic Differential Games.
CoRR, 2020

Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control.
CoRR, 2020

Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Stochastic Differential Games: A Sampling Approach via FBSDEs.
Dyn. Games Appl., 2019

Neural Network Architectures for Stochastic Control using the Nonlinear Feynman-Kac Lemma.
CoRR, 2019

Deep Forward-Backward SDEs for Min-max Control.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Stochastic L1-optimal control via forward and backward sampling.
Syst. Control. Lett., 2018

Stochastic optimal control via forward and backward stochastic differential equations and importance sampling.
Autom., 2018

Seizure Reduction using Model Predictive Control.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2016
Game-theoretic and risk-sensitive stochastic optimal control via forward and backward stochastic differential equations.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Learning optimal control via forward and backward stochastic differential equations.
Proceedings of the 2016 American Control Conference, 2016

2015
On the Suicidal Pedestrian Differential Game.
Dyn. Games Appl., 2015

2014
An asymmetric version of the two car pursuit-evasion game.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014


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