Vector Quantization for Adaptive State Aggregation in Reinforcement Learning.
Christos N. MavridisJohn S. BarasPublished in: ACC (2021)
Keyphrases
- vector quantization
- reinforcement learning
- image compression
- vector quantizer
- state space
- fractal image compression
- input vector
- distortion measure
- reduced complexity
- tree structured vector quantization
- fractal image coding
- markov decision processes
- machine learning
- codebook generation
- neural gas
- dynamic programming
- neural network
- subband
- entropy constrained
- computational complexity
- joint source and channel coding