A deep actor critic reinforcement learning framework for learning to rank.
Vaibhav PadhyeLakshmanan KailasamPublished in: Neurocomputing (2023)
Keyphrases
- learning to rank
- reinforcement learning
- exploration exploitation dilemma
- actor critic
- loss function
- ranking functions
- multi agent
- support vector
- probabilistic model
- state space
- supervised learning
- markov decision processes
- function approximation
- temporal difference
- information retrieval
- approximate dynamic programming
- reinforcement learning algorithms
- document retrieval
- collaborative filtering
- active learning