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Bayesian Robust Optimization for Imitation Learning

Bayesian Robust Optimization for Imitation Learning

24 July 2020
Daniel S. Brown
S. Niekum
Marek Petrik
ArXivPDFHTML

Papers citing "Bayesian Robust Optimization for Imitation Learning"

12 / 12 papers shown
Title
Generalizable Image Repair for Robust Visual Autonomous Racing
Carson Sobolewski
Zhenjiang Mao
Kshitij Vejre
Ivan Ruchkin
52
0
0
07 Mar 2025
RL, but don't do anything I wouldn't do
RL, but don't do anything I wouldn't do
Michael K. Cohen
Marcus Hutter
Yoshua Bengio
Stuart J. Russell
OffRL
33
2
0
08 Oct 2024
Pareto-Optimal Learning from Preferences with Hidden Context
Pareto-Optimal Learning from Preferences with Hidden Context
Ryan Boldi
Li Ding
Lee Spector
S. Niekum
62
6
0
21 Jun 2024
Risk-Averse MDPs under Reward Ambiguity
Risk-Averse MDPs under Reward Ambiguity
Haolin Ruan
Zhi Chen
C. Ho
30
2
0
03 Jan 2023
RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk
RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk
J. Hau
Marek Petrik
Mohammad Ghavamzadeh
R. Russel
30
5
0
09 Sep 2022
Adversarial Training for High-Stakes Reliability
Adversarial Training for High-Stakes Reliability
Daniel M. Ziegler
Seraphina Nix
Lawrence Chan
Tim Bauman
Peter Schmidt-Nielsen
...
Noa Nabeshima
Benjamin Weinstein-Raun
D. Haas
Buck Shlegeris
Nate Thomas
AAML
30
59
0
03 May 2022
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from
  Demonstrations
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations
Angeliki Kamoutsi
G. Banjac
John Lygeros
OffRL
26
7
0
28 Dec 2021
Learning from Ambiguous Demonstrations with Self-Explanation Guided
  Reinforcement Learning
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning
Yantian Zha
L. Guan
Subbarao Kambhampati
26
5
0
11 Oct 2021
Universal Off-Policy Evaluation
Universal Off-Policy Evaluation
Yash Chandak
S. Niekum
Bruno C. da Silva
Erik Learned-Miller
Emma Brunskill
Philip S. Thomas
OffRL
ELM
32
52
0
26 Apr 2021
Scalable Bayesian Inverse Reinforcement Learning
Scalable Bayesian Inverse Reinforcement Learning
Alex J. Chan
M. Schaar
OffRL
BDL
14
66
0
12 Feb 2021
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
284
339
0
14 Sep 2020
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Yinlam Chow
Aviv Tamar
Shie Mannor
Marco Pavone
67
310
0
06 Jun 2015
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