2 papers
cs.LG2023
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning
Mingyang Wang, Zhenshan Bing, Xiangtong Yao +5
Meta-reinforcement learning enables artificial agents to learn from related training tasks and adapt to new tasks efficiently with minimal interaction data. However, most existing…
cs.RO2022
Learning Ball-balancing Robot Through Deep Reinforcement Learning
Yifan Zhou, Jianghao Lin, Shuai Wang +1
The ball-balancing robot (ballbot) is a good platform to test the effectiveness of a balancing controller. Considering balancing control, conventional model-based feedback control…