Autonomous exploration through deep reinforcement learning.
Xiangda YanJie HuangKeyan HeHuajie HongDasheng XuPublished in: Ind. Robot (2023)
Keyphrases
- autonomous learning
- reinforcement learning
- active exploration
- exploration strategy
- action selection
- function approximation
- exploration exploitation
- state space
- reinforcement learning algorithms
- markov decision processes
- model based reinforcement learning
- exploration exploitation tradeoff
- data sets
- optimal policy
- model free
- robotic systems
- supervised learning
- autonomous mental development
- machine learning
- learning capabilities
- information visualization
- deep learning
- policy search
- dynamic programming
- evolutionary algorithm
- learning process
- robotic control
- cooperative