Reinforcement Learning for Strategic Recommendations.
Georgios TheocharousYash ChandakPhilip S. ThomasFrits de NijsPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- recommender systems
- function approximation
- state space
- model free
- case study
- temporal difference
- competitive environment
- decision making
- reinforcement learning algorithms
- markov decision processes
- machine learning
- making recommendations
- temporal difference learning
- learning capabilities
- optimal policy
- user preferences
- learning algorithm
- learning problems
- mobile robot
- function approximators
- multi agent
- strategic planning
- transition model
- policy search
- robotic control
- data mining