Diagnosing Bottlenecks in Deep Q-learning Algorithms.
Justin FuAviral KumarMatthew SohSergey LevinePublished in: CoRR (2019)
Keyphrases
- learning algorithm
- deep architectures
- machine learning algorithms
- deep learning
- active learning
- machine learning
- learning scheme
- training data
- unsupervised learning
- case study
- learning tasks
- learning process
- training samples
- back propagation
- learning problems
- generalization ability
- database
- reinforcement learning
- decision tree learning
- batch mode
- information systems
- kernel machines
- hypothesis space
- membership queries
- learning mechanism
- knowledge base
- model based diagnosis
- learning models
- ensemble methods
- supervised learning