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2007.08220
Cited By
DRIFT: Deep Reinforcement Learning for Functional Software Testing
16 July 2020
Luke R. Harries
Rebekah Storan Clarke
Timothy Chapman
Swamy V. P. L. N. Nallamalli
Levent Özgür
Shuktika Jain
Alex Leung
Steve Lim
Aaron Dietrich
José Miguel Hernández-Lobato
Tom Ellis
Cheng Zhang
K. Ciosek
VLM
OffRL
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Papers citing
"DRIFT: Deep Reinforcement Learning for Functional Software Testing"
10 / 10 papers shown
Title
An Optimistic Perspective on Offline Reinforcement Learning
Rishabh Agarwal
Dale Schuurmans
Mohammad Norouzi
OffRL
OnRL
60
69
0
10 Jul 2019
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
202
4,334
0
06 Mar 2019
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
926
5,493
0
20 Dec 2018
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto
David Meger
Doina Precup
OffRL
BDL
200
1,604
0
07 Dec 2018
Deep Reinforcement Learning for Programming Language Correction
Rahul Gupta
Aditya Kanade
S. Shevade
HAI
63
34
0
31 Jan 2018
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
430
20,089
0
30 Oct 2017
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
152
1,530
0
25 Jan 2017
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
204
5,073
0
05 Jun 2016
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
315
3,279
0
17 Nov 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.5K
149,842
0
22 Dec 2014
1