| Presentation | 2002/3/11 A Pulse Neural Network Reinforcement Learning Algorithm for Partially Observable Markov Decision Process Koichiro TAKITA, Masafumi HAGIWARA, |
|---|---|
| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a new pulse neural network model and its reinforcement learning algorithm. The network is a feed-forward network with two hidden layers. The first hidden layer consists of pulse neurons with low decay rate of internal state, and the second layer consists of pulse neurons with high decay rate. The main purpose of this model is to utilize pulse neurons' ability for handling sequential input in partially observable Markov decision process. Its performance is confirmed by two kinds of computer simulations. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | pulse neural network / reinforcement learning / partially observable Markov decision process |
| Paper # | NC2001-148 |
| Date of Issue |
| Conference Information | |
| Committee | NC |
|---|---|
| Conference Date | 2002/3/11(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Neurocomputing (NC) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Pulse Neural Network Reinforcement Learning Algorithm for Partially Observable Markov Decision Process |
| Sub Title (in English) | |
| Keyword(1) | pulse neural network |
| Keyword(2) | reinforcement learning |
| Keyword(3) | partially observable Markov decision process |
| 1st Author's Name | Koichiro TAKITA |
| 1st Author's Affiliation | Faculty of Science and Technology, Keio University() |
| 2nd Author's Name | Masafumi HAGIWARA |
| 2nd Author's Affiliation | Faculty of Science and Technology, Keio University |
| Date | 2002/3/11 |
| Paper # | NC2001-148 |
| Volume (vol) | vol.101 |
| Number (no) | 735 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |