Difference between revisions of "Memory Networks"
m |
m |
||
| Line 20: | Line 20: | ||
https://www.researchgate.net/profile/Jordy-Van-Landeghem/publication/313374979/figure/fig4/AS:458766232625158@1486389801871/A-high-level-overview-of-end-to-end-memory-networks-in-the-context-of-question-answering.png | https://www.researchgate.net/profile/Jordy-Van-Landeghem/publication/313374979/figure/fig4/AS:458766232625158@1486389801871/A-high-level-overview-of-end-to-end-memory-networks-in-the-context-of-question-answering.png | ||
| + | [https://www.researchgate.net/figure/A-high-level-overview-of-end-to-end-memory-networks-in-the-context-of-question-answering_fig4_313374979 A high-level overview of end-to-end memory networks in the context of question answering. | Jordy Van Landeghem] | ||
<youtube>ZwvWY9Yy76Q</youtube> | <youtube>ZwvWY9Yy76Q</youtube> | ||
Revision as of 21:08, 4 February 2023
YouTube search... ...Google search
- Attention
- Feature Exploration/Learning
- Architectures
- Control of Memory, Active Perception, and Action in Minecraft | J. Oh, V. Chockalingam, S. Singh, & H. Lee
- Memory-based reinforcement learning algorithm for autonomous exploration in unknown environment | Amir Ramezani Dooraki & Deok Jin Lee
- Deep Reinforcement Learning (DRL)
- MERLIN: Inside Out - Curious Optimistic Reasoning
- A Beginner's Guide to Attention Mechanisms and Memory Networks | Skymind
- [https://arxiv.org/abs/1909.11287
- Task-Oriented Conversation Generation Using Heterogeneous Memory Networks | Z. Lin, X. Huang, F. Ji, H. Chen, & Y. Zhang
