A brief overview of ChatGPT: The history, status quo and potential future development

T Wu, S He, J Liu, S Sun, K Liu… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
ChatGPT, an artificial intelligence generated content (AIGC) model developed by OpenAI,
has attracted world-wide attention for its capability of dealing with challenging language …

Safe learning in robotics: From learning-based control to safe reinforcement learning

L Brunke, M Greeff, AW Hall, Z Yuan… - Annual Review of …, 2022 - annualreviews.org
The last half decade has seen a steep rise in the number of contributions on safe learning
methods for real-world robotic deployments from both the control and reinforcement learning …

Learning quadrupedal locomotion over challenging terrain

J Lee, J Hwangbo, L Wellhausen, V Koltun, M Hutter - Science robotics, 2020 - science.org
Legged locomotion can extend the operational domain of robots to some of the most
challenging environments on Earth. However, conventional controllers for legged …

Offline reinforcement learning: Tutorial, review, and perspectives on open problems

S Levine, A Kumar, G Tucker, J Fu - ar** neural network image classification models often requires significant
architecture engineering. In this paper, we study a method to learn the model architectures …

Soft actor-critic algorithms and applications

T Haarnoja, A Zhou, K Hartikainen, G Tucker… - arxiv preprint arxiv …, 2018 - arxiv.org
Model-free deep reinforcement learning (RL) algorithms have been successfully applied to a
range of challenging sequential decision making and control tasks. However, these methods …