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Curriculum Design for Teaching via Demonstrations: Theory and
  Applications
v1v2v3 (latest)

Curriculum Design for Teaching via Demonstrations: Theory and Applications

8 June 2021
Gaurav Yengera
R. Devidze
Parameswaran Kamalaruban
Adish Singla
ArXiv (abs)PDFHTML

Papers citing "Curriculum Design for Teaching via Demonstrations: Theory and Applications"

15 / 15 papers shown
Title
Value Alignment Verification
Value Alignment Verification
Daniel S. Brown
Jordan Jack Schneider
Anca D. Dragan
S. Niekum
69
31
0
02 Dec 2020
On Learning Paradigms for the Travelling Salesman Problem
On Learning Paradigms for the Travelling Salesman Problem
Chaitanya K. Joshi
T. Laurent
Xavier Bresson
140
33
0
16 Oct 2019
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences
  and Constraints
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints
Sebastian Tschiatschek
Ahana Ghosh
Luis Haug
R. Devidze
Adish Singla
72
43
0
02 Jun 2019
Theory of Curriculum Learning, with Convex Loss Functions
Theory of Curriculum Learning, with Convex Loss Functions
D. Weinshall
D. Amir
71
41
0
09 Dec 2018
An Algorithmic Perspective on Imitation Learning
An Algorithmic Perspective on Imitation Learning
Takayuki Osa
Joni Pajarinen
Gerhard Neumann
J. Andrew Bagnell
Pieter Abbeel
Jan Peters
90
848
0
16 Nov 2018
Attention, Learn to Solve Routing Problems!
Attention, Learn to Solve Routing Problems!
W. Kool
H. V. Hoof
Max Welling
129
1,233
0
22 Mar 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch
Learning by Playing - Solving Sparse Reward Tasks from Scratch
Martin Riedmiller
Roland Hafner
Thomas Lampe
Michael Neunert
Jonas Degrave
T. Wiele
Volodymyr Mnih
N. Heess
Jost Tobias Springenberg
93
449
0
28 Feb 2018
Curriculum Learning by Transfer Learning: Theory and Experiments with
  Deep Networks
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks
D. Weinshall
Gad Cohen
Dan Amir
ODL
60
245
0
11 Feb 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks
  on Corrupted Labels
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
Lu Jiang
Zhengyuan Zhou
Thomas Leung
Li Li
Li Fei-Fei
NoLa
133
1,456
0
14 Dec 2017
Towards Black-box Iterative Machine Teaching
Towards Black-box Iterative Machine Teaching
Weiyang Liu
Bo Dai
Xingguo Li
Zhen Liu
James M. Rehg
Le Song
69
56
0
21 Oct 2017
Automatic Goal Generation for Reinforcement Learning Agents
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa
David Held
Xinyang Geng
Pieter Abbeel
111
515
0
17 May 2017
Repeated Inverse Reinforcement Learning
Repeated Inverse Reinforcement Learning
Kareem Amin
Nan Jiang
Satinder Singh
132
76
0
15 May 2017
Automated Curriculum Learning for Neural Networks
Automated Curriculum Learning for Neural Networks
Alex Graves
Marc G. Bellemare
Jacob Menick
Rémi Munos
Koray Kavukcuoglu
101
530
0
10 Apr 2017
Maximum Entropy Deep Inverse Reinforcement Learning
Maximum Entropy Deep Inverse Reinforcement Learning
Markus Wulfmeier
Peter Ondruska
Ingmar Posner
OOD
116
406
0
17 Jul 2015
Learning to Execute
Learning to Execute
Wojciech Zaremba
Ilya Sutskever
ODL
97
560
0
17 Oct 2014
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