Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop.
Hector KohlerQuentin DelfossePaul FestorPhilippe PreuxPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- state space
- function approximation
- academia and industry
- reinforcement learning algorithms
- temporal difference
- exchange ideas
- computing education
- model free
- community structure
- markov decision processes
- online communities
- academic researchers
- community members
- optimal control
- learning algorithm
- computer science
- machine learning
- panel discussion
- conference proceedings
- artificial intelligence
- social networks
- temporal difference learning
- action space
- multi agent
- learning tasks
- information technology
- action selection
- software engineering
- community detection
- least squares
- optimal policy
- neural network
- transfer learning