Reinforcement Learning for Central Pattern Generation in Dynamical Recurrent Neural Networks.
Jason A. YoderCooper B. AndersonCehong WangEduardo J. IzquierdoPublished in: Frontiers Comput. Neurosci. (2022)
Keyphrases
- recurrent neural networks
- pattern generation
- reinforcement learning
- neural network
- complex valued
- reservoir computing
- feed forward
- function approximation
- echo state networks
- recurrent networks
- model free
- feedforward neural networks
- neural model
- state space
- optimal policy
- long short term memory
- reinforcement learning algorithms
- artificial neural networks
- markov decision processes
- multi agent
- cellular automaton
- hebbian learning
- neural models
- nonlinear dynamic systems
- swarm robots
- learning algorithm
- real time
- transfer learning
- cellular automata
- control system
- long term
- decision making