Physics-informed Reinforcement Learning for Perception and Reasoning about Fluids.
Beatriz MoyaAlberto BadiasDavid GonzálezFrancisco ChinestaElías CuetoPublished in: CoRR (2022)
Keyphrases
- situation calculus
- reinforcement learning
- selective perception
- active exploration
- function approximation
- state space
- computer science
- neural network
- perception action
- optimal policy
- multi agent reinforcement learning
- human perception
- spatial reasoning
- qualitative reasoning
- markov decision processes
- image sequences
- formal theory
- learning classifier systems
- machine intelligence
- learning process
- robotic control
- machine learning
- fluid dynamics
- visual perception
- least squares
- multi agent
- temporal difference
- model free
- reinforcement learning algorithms
- control policy
- learning agents
- temporal difference learning
- case study
- quantum mechanics
- optimal control
- bayesian networks
- mobile robot
- database