Controlling Neural Style Transfer with Deep Reinforcement Learning.
Chengming FengJing HuXin WangShu HuBin ZhuXi WuHongtu ZhuSiwei LyuPublished in: IJCAI (2023)
Keyphrases
- reinforcement learning
- transfer learning
- fitted q iteration
- network architecture
- state space
- neural network
- sensory inputs
- model free
- neural model
- reinforcement learning algorithms
- function approximation
- optimal policy
- neural information processing
- multi agent
- bio inspired
- learning algorithm
- artificial neural
- connectionist models
- knowledge transfer
- machine learning
- biologically inspired
- neural computation
- learning tasks
- neural fuzzy
- authorship attribution
- markov decision processes
- previously learned
- robotic control
- nonlinear predictive control
- reinforcement learning methods
- action space
- partially observable
- learning capabilities
- temporal difference
- action selection
- associative memory