Florian Shkurti

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UNIVERSITY OF TORONTO ∙ McGill University

Skill Transfer via Partially Amortized Hierarchical Planning

To quickly solve new tasks in complex environments, intelligent agents n...
11/27/2020 ∙ by Kevin Xie, et al. ∙ 0 ∙ share

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Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models

The potential benefits of model-free reinforcement learning to real robo...
11/02/2020 ∙ by Yuchen Wu, et al. ∙ 0 ∙ share

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Conservative Safety Critics for Exploration

Safe exploration presents a major challenge in reinforcement learning (R...
10/27/2020 ∙ by Homanga Bharadhwaj, et al. ∙ 0 ∙ share

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Continual Model-Based Reinforcement Learning with Hypernetworks

Effective planning in model-based reinforcement learning (MBRL) and mode...
09/25/2020 ∙ by Yizhou Huang, et al. ∙ 0 ∙ share

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Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles

We present Nav2Goal, a data-efficient and end-to-end learning method for...
06/29/2020 ∙ by Travis Manderson, et al. ∙ 0 ∙ share

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LEAF: Latent Exploration Along the Frontier

Self-supervised goal proposal and reaching is a key component for explor...
05/21/2020 ∙ by Homanga Bharadhwaj, et al. ∙ 0 ∙ share

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Dynamics-Aware Latent Space Reachability for Exploration in Temporally-Extended Tasks

Self-supervised goal proposal and reaching is a key component of efficie...
05/21/2020 ∙ by Homanga Bharadhwaj, et al. ∙ 0 ∙ share

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Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization

Recent works in high-dimensional model-predictive control and model-base...
04/19/2020 ∙ by Homanga Bharadhwaj, et al. ∙ 0 ∙ share

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One-Shot Informed Robotic Visual Search in the Wild

We consider the task of underwater robot navigation for the purpose of c...
03/22/2020 ∙ by Karim Koreitem, et al. ∙ 6 ∙ share

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Catch the Ball: Accurate High-Speed Motions for Mobile Manipulators via Inverse Dynamics Learning

Mobile manipulators consist of a mobile platform equipped with one or mo...
03/17/2020 ∙ by Ke Dong, et al. ∙ 0 ∙ share

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DIBS: Diversity inducing Information Bottleneck in Model Ensembles

Although deep learning models have achieved state-of-the-art performance...
03/10/2020 ∙ by Samarth Sinha, et al. ∙ 7 ∙ share

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Underwater Multi-Robot Convoying using Visual Tracking by Detection

We present a robust multi-robot convoying approach that relies on visual...
09/25/2017 ∙ by Florian Shkurti, et al. ∙ 0 ∙ share

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Benchmark Environments for Multitask Learning in Continuous Domains

As demand drives systems to generalize to various domains and problems, ...
08/14/2017 ∙ by Peter Henderson, et al. ∙ 0 ∙ share

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Florian Shkurti

Featured Co-authors

Sergey Levine

Hugo Larochelle

Animesh Garg

Anirudh Goyal

Angela P. Schoellig

Junaed Sattar

David Meger

Homanga Bharadhwaj

Peter Henderson

Md Jahidul Islam

Danijar Hafner

Skill Transfer via Partially Amortized Hierarchical Planning

Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models

Conservative Safety Critics for Exploration

Continual Model-Based Reinforcement Learning with Hypernetworks

Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles

LEAF: Latent Exploration Along the Frontier

Dynamics-Aware Latent Space Reachability for Exploration in Temporally-Extended Tasks

Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization

One-Shot Informed Robotic Visual Search in the Wild

Catch the Ball: Accurate High-Speed Motions for Mobile Manipulators via Inverse Dynamics Learning

DIBS: Diversity inducing Information Bottleneck in Model Ensembles

Underwater Multi-Robot Convoying using Visual Tracking by Detection

Benchmark Environments for Multitask Learning in Continuous Domains