The State of Sparse Training in Deep Reinforcement Learning.
Laura GraesserUtku EvciErich ElsenPablo Samuel CastroPublished in: ICML (2022)
Keyphrases
- reinforcement learning
- state space
- supervised learning
- model free
- training algorithm
- learning algorithm
- action space
- sparse representation
- transfer learning
- function approximation
- deep architectures
- policy search
- state abstraction
- compressed sensing
- training process
- markov decision processes
- learning process
- artificial neural networks
- high dimensional
- training set