Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning.
Marco PleinesJenia JitsevMike PreussFrank ZimmerPublished in: CoG (2020)
Keyphrases
- feed forward
- recurrent networks
- reinforcement learning
- back propagation
- spiking neural networks
- output layer
- artificial neural networks
- neural network
- recurrent neural networks
- neural nets
- spiking neurons
- visual cortex
- hidden layer
- peer to peer
- biologically plausible
- state space
- activation function
- error back propagation
- function approximation
- complex networks
- network architecture
- mobile robot
- learning algorithm
- network structure
- neural architecture
- artificial neural
- primate visual cortex
- model free
- biologically inspired
- network traffic
- dynamic programming
- social networks
- machine learning