3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.RO2022
Image-Based Conditioning for Action Policy Smoothness in Autonomous Miniature Car Racing with Reinforcement Learning
Bo-Jiun Hsu, Hoang-Giang Cao, I Lee +3
In recent years, deep reinforcement learning has achieved significant results in low-level controlling tasks. However, the problem of control smoothness has less attention. In auto…
cs.AI2020★ 3 cited
Sim-To-Real Transfer for Miniature Autonomous Car Racing
Yeong-Jia Roger Chu, Ting-Han Wei, Jin-Bo Huang +2
Sim-to-real, a term that describes where a model is trained in a simulator then transferred to the real world, is a technique that enables faster deep reinforcement learning (DRL)…