Paper Abstract and Keywords |
Presentation |
2019-10-03 11:15
[Poster Presentation]
Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs
-- Investigation of sampling method of replay buffer -- Kota Nakashima, Shotaro Kamiya, Ohtsu Kazuki, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We have proposed the deep reinforcement learning-based channel allocation approach for wireless area local networks to improve the throughput. This report proposes a selective replay buffer storing method for a deep reinforcement learning-based channel allocation approach to avoid the over fitting. When the agent selects actions based on a policy that mostly has the optimal response, a fixed action tends to be selected in a state. The unbalanced learning data can proceed learning only for some certain states and reduce the performance for the other states, which is called the over-fitting. We introduce a selective replay buffer storing method that prevents the unbalance of learning data and the over-fitting, by reducing the storing number of the same data. The simulation results show that the proposal method can prevent the over-fitting and improve the learning performance. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
deep reinforcement learning / over-fitting / replay buffer / / / / / |
Reference Info. |
IEICE Tech. Rep. |
Paper # |
|
Date of Issue |
|
ISSN |
|
Download PDF |
|
Conference Information |
Committee |
MIKA |
Conference Date |
2019-10-02 - 2019-10-04 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hokkaido Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Wireless Communication System, etc. |
Paper Information |
Registration To |
MIKA |
Conference Code |
2019-10-MIKA |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs |
Sub Title (in English) |
Investigation of sampling method of replay buffer |
Keyword(1) |
deep reinforcement learning |
Keyword(2) |
over-fitting |
Keyword(3) |
replay buffer |
Keyword(4) |
|
Keyword(5) |
|
Keyword(6) |
|
Keyword(7) |
|
Keyword(8) |
|
1st Author's Name |
Kota Nakashima |
1st Author's Affiliation |
Kyoto University (Kyoto Univ.) |
2nd Author's Name |
Shotaro Kamiya |
2nd Author's Affiliation |
Kyoto University (Kyoto Univ.) |
3rd Author's Name |
Ohtsu Kazuki |
3rd Author's Affiliation |
Kyoto University (Kyoto Univ.) |
4th Author's Name |
Koji Yamamoto |
4th Author's Affiliation |
Kyoto University (Kyoto Univ.) |
5th Author's Name |
Takayuki Nishio |
5th Author's Affiliation |
Kyoto University (Kyoto Univ.) |
6th Author's Name |
Masahiro Morikura |
6th Author's Affiliation |
Kyoto University (Kyoto Univ.) |
7th Author's Name |
|
7th Author's Affiliation |
() |
8th Author's Name |
|
8th Author's Affiliation |
() |
9th Author's Name |
|
9th Author's Affiliation |
() |
10th Author's Name |
|
10th Author's Affiliation |
() |
11th Author's Name |
|
11th Author's Affiliation |
() |
12th Author's Name |
|
12th Author's Affiliation |
() |
13th Author's Name |
|
13th Author's Affiliation |
() |
14th Author's Name |
|
14th Author's Affiliation |
() |
15th Author's Name |
|
15th Author's Affiliation |
() |
16th Author's Name |
|
16th Author's Affiliation |
() |
17th Author's Name |
|
17th Author's Affiliation |
() |
18th Author's Name |
|
18th Author's Affiliation |
() |
19th Author's Name |
|
19th Author's Affiliation |
() |
20th Author's Name |
|
20th Author's Affiliation |
() |
Speaker |
Author-1 |
Date Time |
2019-10-03 11:15:00 |
Presentation Time |
50 minutes |
Registration for |
MIKA |
Paper # |
|
Volume (vol) |
vol. |
Number (no) |
|
Page |
|
#Pages |
|
Date of Issue |
|