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Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy.
Ruichu Cai
Siyang Huang
Jie Qiao
Wei Chen
Yan Zeng
Keli Zhang
Fuchun Sun
Yang Yu
Zhifeng Hao
Published in:
CoRR (2024)
Keyphrases
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reinforcement learning
main contribution
causal relationships
bayesian networks
state space
sequential decision making
optimal policy
theoretical framework
causal reasoning
probabilistic model
access control
reward function
causal independence