Drawing Inductor Layout with a Reinforcement Learning Agent: Method and Application for VCO Inductors

no code implementations • 23 Feb 2022 • Cameron Haigh, Zichen Zhang, Negar Hassanpour, Khurram Javed, Yingying Fu, Shayan Shahramian, Shawn Zhang, Jun Luo

In light of the need to tweak the target specifications throughout the circuit design cycle, we also develop a variant in which the agent can learn to quickly adapt to draw new inductors for moderately different target specifications.

Reinforcement Learning (RL)

Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning

no code implementations • 11 Nov 2020 • Jun Jin, Daniel Graves, Cameron Haigh, Jun Luo, Martin Jagersand

We consider real-world reinforcement learning (RL) of robotic manipulation tasks that involve both visuomotor skills and contact-rich skills.

counterfactual reinforcement-learning +1