Transparency and Explanation in Deep Reinforcement Learning Neural Networks.
Rahul IyerYuezhang LiHuao LiMichael LewisRamitha SundarKatia P. SycaraPublished in: CoRR (2018)
Keyphrases
- neural network
- reinforcement learning
- function approximators
- function approximation
- state space
- genetic algorithm
- pattern recognition
- back propagation
- artificial neural networks
- multi agent
- fuzzy logic
- neural network model
- learning classifier systems
- multi agent reinforcement learning
- explanation based learning
- machine learning
- multi layer
- generating explanations
- learning capabilities
- temporal difference
- fuzzy systems
- recurrent neural networks
- neural nets
- multi layer perceptron
- model free
- feed forward
- markov decision processes
- rule extraction
- self organizing maps
- temporal difference learning
- evolutionary learning
- fault diagnosis
- policy search
- robotic control
- data sets