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Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep
  Reinforcement Learning

Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning

29 October 2023
Suraj Singireddy
Andre Beckus
George Atia
Sumit Kumar Jha
Alvaro Velasquez
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning"

11 / 11 papers shown
Title
Domain Adaptation In Reinforcement Learning Via Latent Unified State
  Representation
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation
Jinwei Xing
Takashi Nagata
Kexin Chen
Xinyun Zou
Emre Neftci
J. Krichmar
OOD
86
46
0
10 Feb 2021
Reward Machines: Exploiting Reward Function Structure in Reinforcement
  Learning
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning
Rodrigo Toro Icarte
Toryn Q. Klassen
Richard Valenzano
Sheila A. McIlraith
OffRL
114
222
0
06 Oct 2020
Transfer Learning in Deep Reinforcement Learning: A Survey
Transfer Learning in Deep Reinforcement Learning: A Survey
Zhuangdi Zhu
Kaixiang Lin
Anil K. Jain
Jiayu Zhou
OffRLLRM
110
593
0
16 Sep 2020
CURL: Contrastive Unsupervised Representations for Reinforcement
  Learning
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSLDRLOffRL
95
1,092
0
08 Apr 2020
Disentangling Factors of Variation with Cycle-Consistent Variational
  Auto-Encoders
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders
A. Jha
Saket Anand
Maneesh Kumar Singh
V. Veeravasarapu
CoGeDRL
63
128
0
27 Apr 2018
Programmatically Interpretable Reinforcement Learning
Programmatically Interpretable Reinforcement Learning
Abhinav Verma
V. Murali
Rishabh Singh
Pushmeet Kohli
Swarat Chaudhuri
121
355
0
06 Apr 2018
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
I. Higgins
Arka Pal
Andrei A. Rusu
Loic Matthey
Christopher P. Burgess
Alexander Pritzel
M. Botvinick
Charles Blundell
Alexander Lerchner
DRL
112
417
0
26 Jul 2017
Symbolic LTLf Synthesis
Symbolic LTLf Synthesis
Shufang Zhu
L. M. Tabajara
Jianwen Li
G. Pu
Moshe Y. Vardi
25
84
0
23 May 2017
Dueling Network Architectures for Deep Reinforcement Learning
Dueling Network Architectures for Deep Reinforcement Learning
Ziyun Wang
Tom Schaul
Matteo Hessel
H. V. Hasselt
Marc Lanctot
Nando de Freitas
OffRL
91
3,768
0
20 Nov 2015
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
231
3,797
0
18 Nov 2015
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
172
7,662
0
22 Sep 2015
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