Entrainable Neural Conversation Model Based on Reinforcement Learning.
Seiya KawanoMasahiro MizukamiKoichiro YoshinoSatoshi NakamuraPublished in: IEEE Access (2020)
Keyphrases
- reinforcement learning
- model free
- fitted q iteration
- neural network
- network architecture
- state space
- function approximation
- data sets
- temporal difference
- learning rules
- conversational agents
- reinforcement learning algorithms
- multi agent
- markov decision processes
- optimal policy
- natural language
- bio inspired
- transition model
- associative memory
- radial basis function
- learning algorithm
- genetic algorithm
- multi party
- data driven
- neural model
- biologically plausible
- autonomous learning
- learning process
- robotic control