Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments.
Matthew PraegerYunhui XieJames A. Grant-JacobRobert W. EasonBen MillsPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- physical environment
- physical space
- virtual environment
- physical world
- virtual world
- virtual space
- real world
- game playing
- physical characteristics
- augmented reality
- function approximation
- virtual reality
- model free
- physical objects
- learning algorithm
- fiber optic
- multi agent environments
- multi agent
- temporal difference learning
- robotic control
- multi agent reinforcement learning
- virtual laboratory
- deep learning
- reinforcement learning algorithms
- temporal difference
- action selection
- optimal control
- computer games
- learning problems
- dynamic environments
- supervised learning