Explainable reinforcement learning for broad-XAI: a conceptual framework and survey.
Richard DazeleyPeter VamplewFrancisco CruzPublished in: Neural Comput. Appl. (2023)
Keyphrases
- conceptual framework
- reinforcement learning
- theoretical framework
- function approximation
- sharing platform
- markov decision processes
- state space
- optimal policy
- business models
- learning process
- model free
- temporal difference
- reinforcement learning algorithms
- agent negotiation
- dynamic programming
- data collection
- expert systems
- domain knowledge
- machine learning
- conceptual model
- data analysis
- data model