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MACQ: A Holistic View of Model Acquisition Techniques

MACQ: A Holistic View of Model Acquisition Techniques

14 June 2022
Ethan Callanan
Rebecca De Venezia
Victoria Armstrong
Alison Paredes
Tathagata Chakraborti
Christian Muise
ArXivPDFHTML

Papers citing "MACQ: A Holistic View of Model Acquisition Techniques"

7 / 7 papers shown
Title
Learning First-Order Representations for Planning from Black-Box States:
  New Results
Learning First-Order Representations for Planning from Black-Box States: New Results
I. D. Rodriguez
Blai Bonet
J. Romero
Hector Geffner
NAI
36
22
0
23 May 2021
MiniConf -- A Virtual Conference Framework
MiniConf -- A Virtual Conference Framework
Alexander M. Rush
Hendrik Strobelt
33
4
0
10 Jul 2020
SPECTER: Document-level Representation Learning using Citation-informed
  Transformers
SPECTER: Document-level Representation Learning using Citation-informed Transformers
Arman Cohan
Sergey Feldman
Iz Beltagy
Doug Downey
Daniel S. Weld
AI4TS
81
550
0
15 Apr 2020
Learning Action Models from Disordered and Noisy Plan Traces
Learning Action Models from Disordered and Noisy Plan Traces
Hankui Zhuo
Jing Peng
S. Kambhampati
122
10
0
26 Aug 2019
A Case for Backward Compatibility for Human-AI Teams
A Case for Backward Compatibility for Human-AI Teams
Gagan Bansal
Besmira Nushi
Ece Kamar
Daniel S. Weld
Walter S. Lasecki
Eric Horvitz
145
8
0
04 Jun 2019
Learning Partially Observable Deterministic Action Models
Learning Partially Observable Deterministic Action Models
Eyal Amir
Allen Chang
53
138
0
15 Jan 2014
The Fast Downward Planning System
The Fast Downward Planning System
M. Helmert
79
1,902
0
27 Sep 2011
1