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Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning.
Shenzhi Wang
Qisen Yang
Jiawei Gao
Matthieu Gaetan Lin
Hao Chen
Liwei Wu
Ning Jia
Shiji Song
Gao Huang
Published in:
NeurIPS (2023)
Keyphrases
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reinforcement learning
state space
database
markov decision processes
online learning
special case
real time
state abstraction
multi agent
neural network
active learning
real world
optimal policy
function approximation
adaptive control
action selection
learning capabilities
action space
data sets
perceptual aliasing