Zizhao Wang | DeepAI

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∙ 11/15/2022

Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning

As robots become increasingly capable of manipulation and long-term auto...

0 Yoonchang Sung, et al. ∙

∙ 08/22/2022

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022

The BARN (Benchmark Autonomous Robot Navigation) Challenge took place at...

0 Xuesu Xiao, et al. ∙

∙ 06/27/2022

Causal Dynamics Learning for Task-Independent State Abstraction

Learning dynamics models accurately is an important goal for Model-Based...

14 Zizhao Wang, et al. ∙

∙ 08/22/2021

APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback

Classical autonomous navigation systems can control robots in a collisio...

0 Zizhao Wang, et al. ∙

∙ 08/22/2021

From Agile Ground to Aerial Navigation: Learning from Learned Hallucination

This paper presents a self-supervised Learning from Learned Hallucinatio...

0 Zizhao Wang, et al. ∙

∙ 05/17/2021

APPL: Adaptive Planner Parameter Learning

While current autonomous navigation systems allow robots to successfully...

0 Xuesu Xiao, et al. ∙

∙ 03/24/2021

CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL

We propose a vision-based reinforcement learning (RL) approach for close...

0 Iretiayo Akinola, et al. ∙

∙ 11/01/2020

APPLI: Adaptive Planner Parameter Learning From Interventions

While classical autonomous navigation systems can typically move robots ...

0 Zizhao Wang, et al. ∙

∙ 11/01/2020

APPLR: Adaptive Planner Parameter Learning from Reinforcement

Classical navigation systems typically operate using a fixed set of hand...

0 Zifan Xu, et al. ∙

∙ 08/11/2020

Maximizing BCI Human Feedback using Active Learning

Recent advancements in Learning from Human Feedback present an effective...

0 Zizhao Wang, et al. ∙

∙ 10/01/2019

Accelerated Robot Learning via Human Brain Signals

In reinforcement learning (RL), sparse rewards are a natural way to spec...

0 Iretiayo Akinola, et al. ∙

∙ 09/20/2019

Particle Smoothing Variational Objectives

A body of recent work has focused on constructing a variational family o...

0 Antonio Khalil Moretti, et al. ∙

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