research
∙
09/01/2021
Deep ℒ^1 Stochastic Optimal Control Policies for Planetary Soft-landing
In this paper, we introduce a novel deep learning based solution to the ...
share
research
∙
08/28/2021
DASH: Modularized Human Manipulation Simulation with Vision and Language for Embodied AI
Creating virtual humans with embodied, human-like perceptual and actuati...
research
∙
03/30/2021
Fast and Feature-Complete Differentiable Physics for Articulated Rigid Bodies with Contact
We present a fast and feature-complete differentiable physics engine tha...
research
∙
03/08/2021
Task-Specific Design Optimization and Fabrication for Inflated-Beam Soft Robots with Growable Discrete Joints
Soft robot serial chain manipulators with the capability for growth, sti...
research
∙
11/21/2020
Multi-agent Deep FBSDE Representation For Large Scale Stochastic Differential Games
In this paper, we present a deep learning framework for solving large-sc...
research
∙
11/03/2020
Policy Transfer via Kinematic Domain Randomization and Adaptation
Transferring reinforcement learning policies trained in physics simulati...
research
∙
09/02/2020
Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs
This paper introduces a new formulation for stochastic optimal control a...
research
∙
06/22/2020
Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control
In this work we propose the use of adaptive stochastic search as a build...
research
∙
06/11/2019