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A Bayesian Approach to Identifying Representational Errors

A Bayesian Approach to Identifying Representational Errors

28 March 2021
Ramya Ramakrishnan
Vaibhav Unhelkar
Ece Kamar
J. Shah
ArXivPDFHTML

Papers citing "A Bayesian Approach to Identifying Representational Errors"

21 / 21 papers shown
Title
Coordinated Exploration via Intrinsic Rewards for Multi-Agent
  Reinforcement Learning
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning
Shariq Iqbal
Fei Sha
31
49
0
28 May 2019
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning
  Leveraging Symbolic Planning
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning
Daoming Lyu
Fangkai Yang
Bo Liu
Steven M. Gustafson
OffRL
70
152
0
31 Oct 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement
  Learning
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
57
211
0
02 Oct 2018
Object-sensitive Deep Reinforcement Learning
Object-sensitive Deep Reinforcement Learning
Yuezhang Li
Katia Sycara
R. Iyer
47
65
0
17 Sep 2018
A Survey of Inverse Reinforcement Learning: Challenges, Methods and
  Progress
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress
Saurabh Arora
Prashant Doshi
OffRL
75
607
0
18 Jun 2018
Discovering Blind Spots in Reinforcement Learning
Discovering Blind Spots in Reinforcement Learning
Ramya Ramakrishnan
Ece Kamar
Debadeepta Dey
J. Shah
Eric Horvitz
31
13
0
23 May 2018
Universal Successor Representations for Transfer Reinforcement Learning
Universal Successor Representations for Transfer Reinforcement Learning
Chen Ma
Junfeng Wen
Yoshua Bengio
OffRL
38
33
0
11 Apr 2018
Latent Space Policies for Hierarchical Reinforcement Learning
Latent Space Policies for Hierarchical Reinforcement Learning
Tuomas Haarnoja
Kristian Hartikainen
Pieter Abbeel
Sergey Levine
BDL
71
193
0
09 Apr 2018
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Roberta Raileanu
Emily L. Denton
Arthur Szlam
Rob Fergus
68
201
0
26 Feb 2018
Deep Object-Centric Representations for Generalizable Robot Learning
Deep Object-Centric Representations for Generalizable Robot Learning
Coline Devin
Pieter Abbeel
Trevor Darrell
Sergey Levine
SSL
OCL
84
106
0
14 Aug 2017
Learning human behaviors from motion capture by adversarial imitation
Learning human behaviors from motion capture by adversarial imitation
J. Merel
Yuval Tassa
TB Dhruva
S. Srinivasan
Jay Lemmon
Ziyun Wang
Greg Wayne
N. Heess
GAN
60
202
0
07 Jul 2017
Shared Autonomy via Hindsight Optimization for Teleoperation and Teaming
Shared Autonomy via Hindsight Optimization for Teleoperation and Teaming
Shervin Javdani
H. Admoni
Stefania Pellegrinelli
S. Srinivasa
J. Andrew Bagnell
86
209
0
01 Jun 2017
Third-Person Imitation Learning
Third-Person Imitation Learning
Bradly C. Stadie
Pieter Abbeel
Ilya Sutskever
60
235
0
06 Mar 2017
The Value of Inferring the Internal State of Traffic Participants for
  Autonomous Freeway Driving
The Value of Inferring the Internal State of Traffic Participants for Autonomous Freeway Driving
Zachary Sunberg
Christopher Ho
Mykel Kochenderfer
58
83
0
02 Feb 2017
Reinforcement Learning with Unsupervised Auxiliary Tasks
Reinforcement Learning with Unsupervised Auxiliary Tasks
Max Jaderberg
Volodymyr Mnih
Wojciech M. Czarnecki
Tom Schaul
Joel Z Leibo
David Silver
Koray Kavukcuoglu
SSL
101
1,228
0
16 Nov 2016
Cooperative Inverse Reinforcement Learning
Cooperative Inverse Reinforcement Learning
Dylan Hadfield-Menell
Anca Dragan
Pieter Abbeel
Stuart J. Russell
65
644
0
09 Jun 2016
On Deep Multi-View Representation Learning: Objectives and Optimization
On Deep Multi-View Representation Learning: Objectives and Optimization
Weiran Wang
R. Arora
Karen Livescu
J. Bilmes
SSL
DRL
76
913
0
02 Feb 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
250
14,008
0
19 Nov 2015
Online Planning Algorithms for POMDPs
Online Planning Algorithms for POMDPs
Stéphane Ross
Joelle Pineau
Sébastien Paquet
B. Chaib-draa
90
583
0
15 Jan 2014
PEGASUS: A Policy Search Method for Large MDPs and POMDPs
PEGASUS: A Policy Search Method for Large MDPs and POMDPs
A. Ng
Michael I. Jordan
105
496
0
16 Jan 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
256
12,435
0
24 Jun 2012
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