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cs.LG2026
Last-Iterate Guarantees for Online Reinforcement Learning in Structured Constrained MDPs
Nam Phuong Tran, Trinh Ha Mai Huynh, Tuyen Pham Le +3
In safety-critical applications, deployment uses a single policy, whose performance and constraint satisfaction should hold directly rather than only for an average or mixture of t…
cs.LG2023★ 2 cited
Toward Reinforcement Learning-based Rectilinear Macro Placement Under Human Constraints
Tuyen P. Le, Hieu T. Nguyen, Seungyeol Baek +8
Macro placement is a critical phase in chip design, which becomes more intricate when involving general rectilinear macros and layout areas. Furthermore, macro placement that incor…