Adaptive Modular Reinforcement Learning for Robot Controlled in Multiple Environments
This paper proposes an adaptive modular reinforcement learning architecture and an algorithm for robot control operating in multiple environments. Reinforcement learning autonomously acquires control rules by interacting between the agent and the controlled system. Consequently, reinforcement learni...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9393878/ |