Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings.
Hongpeng CaoYanbing MaoLui ShaMarco CaccamoPublished in: ICLR (2024)
Keyphrases
- reinforcement learning
- function approximation
- state space
- reinforcement learning algorithms
- computer science
- temporal difference
- model free
- robotic control
- moment invariants
- vector space
- quantum mechanics
- artificial intelligence
- learning algorithm
- low dimensional
- dimensionality reduction
- stochastic approximation
- deep learning
- affine transformation
- euclidean space
- machine learning
- pattern recognition
- computer vision
- genetic algorithm
- invariant features
- manifold learning
- learning problems
- image transformations
- optimal policy
- learning agent