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ENIGMA-NG: Efficient Neural and Gradient-Boosted Inference Guidance for
  E

ENIGMA-NG: Efficient Neural and Gradient-Boosted Inference Guidance for E

7 March 2019
Karel Chvalovský
Jan Jakubuv
Martin Suda
Josef Urban
ArXivPDFHTML

Papers citing "ENIGMA-NG: Efficient Neural and Gradient-Boosted Inference Guidance for E"

7 / 7 papers shown
Title
Efficient Neural Clause-Selection Reinforcement
Martin Suda
44
0
0
10 Mar 2025
Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis
Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis
Julian Parsert
Elizabeth Polgreen
30
3
0
13 Jul 2023
Translating SUMO-K to Higher-Order Set Theory
Translating SUMO-K to Higher-Order Set Theory
C. Brown
A. Pease
Josef Urban
LRM
21
2
0
13 May 2023
TacticZero: Learning to Prove Theorems from Scratch with Deep
  Reinforcement Learning
TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning
Minchao Wu
Michael Norrish
Christian J. Walder
Amir Dezfouli
12
40
0
19 Feb 2021
Tactic Learning and Proving for the Coq Proof Assistant
Tactic Learning and Proving for the Coq Proof Assistant
Lasse Blaauwbroek
Josef Urban
H. Geuvers
46
23
0
20 Mar 2020
ENIGMA Anonymous: Symbol-Independent Inference Guiding Machine (system
  description)
ENIGMA Anonymous: Symbol-Independent Inference Guiding Machine (system description)
Jan Jakubuv
Karel Chvalovský
Miroslav Olsák
Bartosz Piotrowski
Martin Suda
Josef Urban
4
44
0
13 Feb 2020
Towards Finding Longer Proofs
Towards Finding Longer Proofs
Zsolt Zombori
Adrián Csiszárik
Henryk Michalewski
C. Kaliszyk
Josef Urban
OffRL
LRM
29
15
0
30 May 2019
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