Multi-timescale memory dynamics in a reinforcement learning network with attention-gated memory.
Marco MartinolliWulfram GerstnerAditya GilraPublished in: CoRR (2017)
Keyphrases
- reinforcement learning
- memory usage
- memory requirements
- dynamic programming
- data transfer
- state space
- peer to peer
- auto associative
- computing power
- long term memory
- neural network
- memory size
- state information
- working memory
- network model
- recurrent neural networks
- computer networks
- network traffic
- operating system
- wireless sensor networks