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What Should I Do Now? Marrying Reinforcement Learning and Symbolic
  Planning

What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning

6 January 2019
Daniel Gordon
D. Fox
Ali Farhadi
ArXivPDFHTML

Papers citing "What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning"

6 / 6 papers shown
Title
Transformers are Adaptable Task Planners
Transformers are Adaptable Task Planners
Vidhi Jain
Yixin Lin
Eric Undersander
Yonatan Bisk
Akshara Rai
20
24
0
06 Jul 2022
Skill-based Multi-objective Reinforcement Learning of Industrial Robot
  Tasks with Planning and Knowledge Integration
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration
Matthias Mayr
Faseeh Ahmad
Konstantinos Chatzilygeroudis
Luigi Nardi
Volker Krueger
14
28
0
18 Mar 2022
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement
  Learning
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning
A. Chester
Michael Dann
Fabio Zambetta
John Thangarajah
6
0
0
09 Mar 2022
Knowledge-based Embodied Question Answering
Knowledge-based Embodied Question Answering
Sinan Tan
Mengmeng Ge
Di Guo
Huaping Liu
F. Sun
22
20
0
16 Sep 2021
Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning
  with Intrinsic-Extrinsic Modeling
Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning with Intrinsic-Extrinsic Modeling
Xin Ye
Yezhou Yang
14
14
0
16 Oct 2020
Neural Modular Control for Embodied Question Answering
Neural Modular Control for Embodied Question Answering
Abhishek Das
Georgia Gkioxari
Stefan Lee
Devi Parikh
Dhruv Batra
LM&Ro
129
127
0
26 Oct 2018
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