MPC-Inspired Neural Network Policies for Sequential Decision Making.
Marcus PereiraDavid D. FanGabriel Nakajima AnEvangelos A. TheodorouPublished in: CoRR (2018)
Keyphrases
- sequential decision making
- neural network
- decision problems
- reinforcement learning
- optimal policy
- interactive dynamic influence diagrams
- influence diagrams
- back propagation
- artificial neural networks
- state space
- decision making
- neural network model
- genetic algorithm
- multilayer perceptron
- function approximation
- multi agent
- objective function
- radial basis function
- closed loop
- reward function
- expected utility
- artificial intelligence