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Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning.
Jinxin Liu
Donglin Wang
Qiangxing Tian
Zhengyu Chen
Published in:
AAAI (2022)
Keyphrases
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reinforcement learning
agent learns
intrinsic motivation
optimal policy
function approximators
reward signal
function approximation
learning agent
reinforcement learning algorithms
college students
markov decision processes
state space
agent receives
reward function
statistically significant
pilot study
intelligent tutoring systems
cognitive style
learning process
multi agent
web services
information systems
learning algorithm