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Deep Reinforcement Learning for Synthesizing Functions in Higher-Order
  Logic
v1v2v3 (latest)

Deep Reinforcement Learning for Synthesizing Functions in Higher-Order Logic

25 October 2019
Thibault Gauthier
ArXiv (abs)PDFHTML

Papers citing "Deep Reinforcement Learning for Synthesizing Functions in Higher-Order Logic"

4 / 4 papers shown
Title
Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search
  Applications
Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search Applications
Marco Kemmerling
Daniel Lutticke
Robert H. Schmitt
74
15
0
14 Mar 2023
MizAR 60 for Mizar 50
MizAR 60 for Mizar 50
Jan Jakubruv
Karel Chvalovský
Z. Goertzel
C. Kaliszyk
Mirek Olvsák
Bartosz Piotrowski
S. Schulz
Martin Suda
Josef Urban
82
13
0
12 Mar 2023
Machine Learning Meets The Herbrand Universe
Machine Learning Meets The Herbrand Universe
Jelle Piepenbrock
Josef Urban
Konstantin Korovin
Miroslav Olvsák
Tom Heskes
Mikolávs Janota
NAI
55
3
0
07 Oct 2022
Adversarial Learning to Reason in an Arbitrary Logic
Adversarial Learning to Reason in an Arbitrary Logic
Stanislaw J. Purgal
C. Kaliszyk
64
1
0
06 Apr 2022
1