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A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points.
Zihe Liu
Jie Lu
Guangquan Zhang
Junyu Xuan
Published in:
CoRR (2024)
Keyphrases
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reinforcement learning
point sets
non stationary
sample points
machine learning
feature points
multi agent reinforcement learning
data sets
real robot
model free
function approximation
convex hull
optimal control
class imbalance
single point
transfer learning
behavior patterns
learning algorithm