Reinforcement Learning reveals fundamental limits on the mixing of active particles.
Dominik SchildknechtAnastasia N. PopovaJack StellwagenMatt ThomsonPublished in: CoRR (2021)
Keyphrases
- fundamental limits
- reinforcement learning
- function approximation
- optimal policy
- reinforcement learning algorithms
- learning algorithm
- data sets
- swarm optimization
- partially observable
- machine learning
- model free
- supervised learning
- multi agent
- database
- transfer learning
- information retrieval
- state space
- blind source separation
- action selection
- high resolution
- learning process
- policy search
- robotic control
- high quality