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1911.02065
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A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
5 November 2019
Mayank Agarwal
Ibrahim Abdelaziz
B. Makni
Spencer Whitehead
Cristina Cornelio
Pavan Kapanipathi
Kavitha Srinivas
Veronika Thost
Michael Witbrock
Achille Fokoue
LRM
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Papers citing
"A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving"
6 / 6 papers shown
Deep Explainable Learning with Graph Based Data Assessing and Rule Reasoning
Yuanlong Li
Gaopan Huang
Min Zhou
Chuan Fu
Honglin Qiao
Yan He
266
1
0
09 Nov 2022
AI Descartes: Combining Data and Theory for Derivable Scientific Discovery
Cristina Cornelio
S. Dash
V. Austel
Tyler R. Josephson
Joao Goncalves
K. Clarkson
N. Megiddo
Bachir El Khadir
L. Horesh
AI4CE
397
8
0
03 Sep 2021
TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Minchao Wu
Michael Norrish
Christian J. Walder
Amir Dezfouli
205
49
0
19 Feb 2021
Logical Neural Networks
Ryan Riegel
Alexander G. Gray
F. Luus
Naweed Khan
Ndivhuwo Makondo
...
S. Ikbal
Hima P. Karanam
S. Neelam
Ankita Likhyani
S. Srivastava
NAI
330
190
0
23 Jun 2020
Learning to Prove from Synthetic Theorems
Eser Aygun
Zafarali Ahmed
Ankit Anand
Vlad Firoiu
Xavier Glorot
Laurent Orseau
Doina Precup
Shibl Mourad
NAI
257
21
0
19 Jun 2020
An Experimental Study of Formula Embeddings for Automated Theorem Proving in First-Order Logic
Ibrahim Abdelaziz
Veronika Thost
Mayank Agarwal
Achille Fokoue
263
6
0
02 Feb 2020
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