Evangelos Theodorou | DeepAI

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∙ 09/24/2021

Improving Model Predictive Path Integral using Covariance Steering

This paper presents a novel control approach for autonomous systems oper...

0 Ji Yin, et al. ∙

∙ 06/04/2021

Robustifying Reinforcement Learning Policies with ℒ_1 Adaptive Control

A reinforcement learning (RL) policy trained in a nominal environment co...

1 Yikun Cheng, et al. ∙

∙ 03/04/2021

Exploring the representativeness of the M5 competition data

The main objective of the M5 competition, which focused on forecasting t...

0 Evangelos Theodorou, et al. ∙

∙ 09/11/2020

Autonomous Hybrid Ground/Aerial Mobility in Unknown Environments

Hybrid ground and aerial vehicles can possess distinct advantages over g...

0 David D. Fan, et al. ∙

∙ 09/08/2020

ℛℒ_1-𝒢𝒫: Safe Simultaneous Learning and Control

We present ℛℒ_1-𝒢𝒫, a control framework that enables safe simultaneous l...

0 Aditya Gahlawat, et al. ∙

∙ 06/22/2020

Forward-Backward RRT: Branched Sampled FBSDEs for Stochastic Optimal Control

We propose a numerical method to solve forward-backward stochastic diffe...

0 Kelsey P. Hawkins, et al. ∙

∙ 06/25/2018

Propagating Uncertainty through the tanh Function with Application to Reservoir Computing

Many neural networks use the tanh activation function, however when give...

0 Manan Gandhi, et al. ∙

∙ 06/12/2018

Model-Based Imitation Learning with Accelerated Convergence

Sample efficiency is critical in solving real-world reinforcement learni...

0 Ching-An Cheng, et al. ∙

∙ 03/27/2018

Safe end-to-end imitation learning for model predictive control

We propose the use of Bayesian networks, which provide both a mean value...

0 Keuntaek Lee, et al. ∙

∙ 03/03/2018

Model-Based Stochastic Search for Large Scale Optimization of Multi-Agent UAV Swarms

Recent work from the reinforcement learning community has shown that Evo...

0 David D. Fan, et al. ∙

∙ 02/15/2018

MPC-Inspired Neural Network Policies for Sequential Decision Making

In this paper we investigate the use of MPC-inspired neural network poli...

0 Marcus Pereira, et al. ∙

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