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Making Human-Like Trade-offs in Constrained Environments by Learning
  from Demonstrations

Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations

22 September 2021
Arie Glazier
Andrea Loreggia
Nicholas Mattei
Taher Rahgooy
F. Rossi
Kristen Brent Venable
ArXivPDFHTML

Papers citing "Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations"

7 / 7 papers shown
Title
Inverse Constrained Reinforcement Learning
Inverse Constrained Reinforcement Learning
Usman Anwar
Shehryar Malik
Alireza Aghasi
Ali Ahmed
54
59
0
19 Nov 2020
Thinking Fast and Slow in AI
Thinking Fast and Slow in AI
G. Booch
F. Fabiano
L. Horesh
Kiran Kate
J. Lenchner
...
Andrea Loreggia
K. Murugesan
Nicholas Mattei
F. Rossi
Biplav Srivastava
56
96
0
12 Oct 2020
Maximum Likelihood Constraint Inference for Inverse Reinforcement
  Learning
Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning
D. Scobee
S. Shankar Sastry
37
64
0
12 Sep 2019
Building Ethically Bounded AI
Building Ethically Bounded AI
F. Rossi
Nicholas Mattei
61
75
0
10 Dec 2018
Incorporating Behavioral Constraints in Online AI Systems
Incorporating Behavioral Constraints in Online AI Systems
Avinash Balakrishnan
Djallel Bouneffouf
Nicholas Mattei
F. Rossi
OffRL
73
66
0
15 Sep 2018
Concrete Problems in AI Safety
Concrete Problems in AI Safety
Dario Amodei
C. Olah
Jacob Steinhardt
Paul Christiano
John Schulman
Dandelion Mané
179
2,378
0
21 Jun 2016
Research Priorities for Robust and Beneficial Artificial Intelligence
Research Priorities for Robust and Beneficial Artificial Intelligence
Stuart J. Russell
Dan Dewey
Max Tegmark
64
656
0
10 Feb 2016
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