Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks.
Sina GhiassianBanafsheh RafieeYat Long LoAdam WhitePublished in: AAMAS (2020)
Keyphrases
- neural network
- reinforcement learning
- function approximators
- function approximation
- pattern recognition
- learning classifier systems
- genetic algorithm
- fuzzy logic
- markov decision processes
- rule extraction
- learning capabilities
- feed forward
- back propagation
- learning algorithm
- robotic control
- optimal policy
- machine learning
- state space
- temporal difference
- multi agent reinforcement learning
- artificial neural networks
- neural nets
- reinforcement learning algorithms
- learning machines
- training data
- evolutionary learning
- artificial intelligence
- action selection
- training algorithm
- fuzzy systems
- multi agent
- multilayer perceptron
- data sets
- learning process
- hidden markov models