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Safe Active Dynamics Learning and Control: A Sequential
  Exploration-Exploitation Framework

Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework

26 August 2020
T. Lew
Apoorva Sharma
James Harrison
Andrew Bylard
Marco Pavone
ArXivPDFHTML

Papers citing "Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework"

12 / 12 papers shown
Title
Bayesian meta learning for trustworthy uncertainty quantification
Bayesian meta learning for trustworthy uncertainty quantification
Zhenyuan Yuan
Thinh T. Doan
UQCV
43
0
0
27 Jul 2024
Reinforcement Learning by Guided Safe Exploration
Reinforcement Learning by Guided Safe Exploration
Qisong Yang
T. D. Simão
N. Jansen
Simon Tindemans
M. Spaan
OffRL
OnRL
34
5
0
26 Jul 2023
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian
  Learning
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning
Shengbo Wang
Ke Li
Yin Yang
Yuting Cao
Tingwen Huang
S. Wen
23
4
0
03 Jul 2023
Estimating the Convex Hull of the Image of a Set with Smooth Boundary:
  Error Bounds and Applications
Estimating the Convex Hull of the Image of a Set with Smooth Boundary: Error Bounds and Applications
T. Lew
Riccardo Bonalli
Lucas Janson
Marco Pavone
27
4
0
27 Feb 2023
Robotic Table Wiping via Reinforcement Learning and Whole-body
  Trajectory Optimization
Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization
T. Lew
Sumeet Singh
M. Prats
Jeffrey Bingham
Jonathan Weisz
...
Fei Xia
Peng-Tao Xu
Tingnan Zhang
Jie Tan
Montserrat Gonzalez
32
15
0
19 Oct 2022
Expanding the Deployment Envelope of Behavior Prediction via Adaptive
  Meta-Learning
Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning
Boris Ivanovic
James Harrison
Marco Pavone
AI4CE
30
27
0
23 Sep 2022
Safe and Efficient Exploration of Human Models During Human-Robot
  Interaction
Safe and Efficient Exploration of Human Models During Human-Robot Interaction
Ravi Pandya
Changliu Liu
19
6
0
01 Aug 2022
Safe Reinforcement Learning Using Black-Box Reachability Analysis
Safe Reinforcement Learning Using Black-Box Reachability Analysis
Mahmoud Selim
Amr Alanwar
Shreyas Kousik
Grace Gao
Marco Pavone
Karl H. Johansson
29
33
0
15 Apr 2022
Data-Driven Chance Constrained Control using Kernel Distribution
  Embeddings
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings
Adam J. Thorpe
T. Lew
Meeko Oishi
Marco Pavone
25
21
0
08 Feb 2022
A Simple and Efficient Sampling-based Algorithm for General Reachability
  Analysis
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis
T. Lew
Lucas Janson
Riccardo Bonalli
Marco Pavone
24
18
0
10 Dec 2021
On the Problem of Reformulating Systems with Uncertain Dynamics as a
  Stochastic Differential Equation
On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation
T. Lew
Apoorva Sharma
James Harrison
Edward Schmerling
Marco Pavone
23
6
0
11 Nov 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
350
11,684
0
09 Mar 2017
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