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01/17/2022
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning
It can be difficult to autonomously produce driver behavior so that it a...
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09/02/2020
Adaptive CVaR Optimization for Dynamical Systems with Path Space Stochastic Search
We present a general framework for optimizing the Conditional Value-at-R...
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04/17/2020
Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning
In this work, we present a method for obtaining an implicit objective fu...
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01/08/2020
Sample-based Distributional Policy Gradient
Distributional reinforcement learning (DRL) is a recent reinforcement le...
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01/07/2020
Aggressive Perception-Aware Navigation using Deep Optical Flow Dynamics and PixelMPC
Recently, vision-based control has gained traction by leveraging the pow...
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06/11/2019
Deep Forward-Backward SDEs for Min-max Control
This paper presents a novel approach to numerically solve stochastic dif...
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04/26/2019
Perceptual Attention-based Predictive Control
In this paper, we present a novel information processing architecture fo...
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11/30/2018
Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies
This work presents a novel ensemble of Bayesian Neural Networks (BNNs) f...
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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...
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03/27/2018