A deep semi-dense compression network for reinforcement learning based on information theory.
Jiabao WenMeng XiTaiqiu XiaoJiachen YangDesheng ChenWen LuXinbo GaoPublished in: Neurocomputing (2023)
Keyphrases
- information theory
- information theoretic
- reinforcement learning
- jensen shannon divergence
- rate distortion theory
- statistical mechanics
- network structure
- statistical learning
- conditional entropy
- relative entropy
- image compression
- peer to peer
- learning algorithm
- compression algorithm
- mutual information
- kullback leibler divergence
- mdl principle
- image segmentation
- shannon entropy