tag:joss.theoj.org,2005:/papers/tagged/Reinforcement%20Learning?page=2
Journal of Open Source Software
2019-10-04T18:07:21Z
Journal of Open Source Software
https://joss.theoj.org
tag:joss.theoj.org,2005:Paper/1033
2019-10-04T18:07:21Z
2021-02-15T11:32:05Z
RL: Generic reinforcement learning codebase in TensorFlow
accepted
v2.0
2019-06-13 01:29:20 UTC
42
2019-10-04 18:07:21 UTC
4
2019
1524
Bryan
M.
Li
FOR.ai
Alexander
Cowen-Rivers
FOR.ai
Piotr
Kozakowski
FOR.ai
David
Tao
FOR.ai
Siddhartha
Rao
Kamalakara
FOR.ai
Nitarshan
Rajkumar
FOR.ai
Hariharan
Sezhiyan
FOR.ai
Sicong
Huang
FOR.ai
Aidan
N.
Gomez
FOR.ai
10.21105/joss.01524
https://doi.org/10.5281/zenodo.3408453
Python
https://joss.theoj.org/papers/10.21105/joss.01524.pdf
Reinforcement Learning, Tensorflow, Gym
tag:joss.theoj.org,2005:Paper/705
2019-06-12T16:15:44Z
2021-02-19T14:34:34Z
ReinforcementLearning: A Package to Perform Model-Free Reinforcement Learning in R
accepted
v1.0.2
2018-10-22 17:31:07 UTC
38
2019-06-12 16:15:44 UTC
4
2019
1087
Nicolas
Pröellochs
University of Giessen, University of Oxford
Stefan
Feuerriegel
ETH Zurich
10.21105/joss.01087
https://doi.org/10.5281/zenodo.3244170
R
https://joss.theoj.org/papers/10.21105/joss.01087.pdf
Reinforcement Learning, Batch Learning, Experience Replay, Q-Learning
tag:joss.theoj.org,2005:Paper/414
2018-05-03T17:31:27Z
2021-02-15T11:33:37Z
Flux: Elegant machine learning with Julia
accepted
v0.4.1
2018-02-16 16:42:43 UTC
25
2018-05-03 17:31:27 UTC
3
2018
602
Mike
Innes
Julia Computing
0000-0003-0788-0242
10.21105/joss.00602
https://doi.org/10.5281/zenodo.1240350
Julia
https://joss.theoj.org/papers/10.21105/joss.00602.pdf
deep learning, machine learning, natural language processing, computer vision, reinforcement learning, robotics, automatic differentiation, compiler