Heuristic Algorithm-based Action Masking Reinforcement Learning (HAAM-RL) with Ensemble Inference Method

no code implementations • 21 Mar 2024 • Kyuwon Choi, Cheolkyun Rho, Taeyoun Kim, Daewoo Choi

This paper presents a novel reinforcement learning (RL) approach called HAAM-RL (Heuristic Algorithm-based Action Masking Reinforcement Learning) for optimizing the color batching re-sequencing problem in automobile painting processes.

reinforcement-learning Reinforcement Learning (RL)

Toward Reinforcement Learning-based Rectilinear Macro Placement Under Human Constraints

no code implementations • 3 Nov 2023 • Tuyen P. Le, Hieu T. Nguyen, Seungyeol Baek, Taeyoun Kim, Jungwoo Lee, Seongjung Kim, HyunJin Kim, Misu Jung, Daehoon Kim, Seokyong Lee, Daewoo Choi

Macro placement is a critical phase in chip design, which becomes more intricate when involving general rectilinear macros and layout areas.

reinforcement-learning