Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning.

Jinxin Liu Donglin Wang Qiangxing Tian Zhengyu Chen

Published in: AAAI (2022)

Keyphrases

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