Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning.
Aviral KumarRishabh AgarwalDibya GhoshSergey LevinePublished in: CoRR (2020)
Keyphrases
- data sets
- data sources
- reinforcement learning
- synthetic data
- data collection
- data analysis
- data processing
- database
- high quality
- hidden markov models
- databases
- missing data
- small number
- computer systems
- statistical analysis
- data distribution
- original data
- experimental data
- high dimensional data
- supervised learning
- image data
- data points
- probability distribution
- dynamic programming
- feature selection