Discrete Prompt Compression With Reinforcement Learning.
Hoyoun JungKyung-Joong KimPublished in: IEEE Access (2024)
Keyphrases
- reinforcement learning
- continuous state
- function approximation
- markov decision processes
- image compression
- discrete version
- continuous state spaces
- model free
- compression ratio
- function approximators
- temporal difference
- action selection
- lossless compression
- data compression
- state space
- multi agent reinforcement learning
- data sets
- control problems
- compression rate
- continuous state and action spaces
- discrete geometry
- optimal policy
- learning algorithm
- machine learning
- compression scheme
- compression algorithm
- transfer learning
- evolutionary algorithm
- learning process
- multi agent systems
- multi agent