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Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems.
Abhishek Naik
Bo Chang
Alexandros Karatzoglou
Martin Mladenov
Ed H. Chi
Minmin Chen
Published in:
WWW (Companion Volume) (2023)
Keyphrases
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action space
recommendation systems
reinforcement learning
state space
markov decision processes
state and action spaces
real valued
collaborative filtering
continuous state
user preferences
reinforcement learning methods
stochastic processes
state action
recommender systems
function approximation
action selection
web search
collaborative filtering recommendation algorithm
user feedback
continuous state spaces
search engine
function approximators
markov decision process
reinforcement learning algorithms
multi agent
information retrieval
model free
learning algorithm
dynamic programming
optimal policy
learning problems
control problems
markov decision problems
single agent
partially observable