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