Symmetric Replay Training: Enhancing Sample Efficiency in Deep
Reinforcement Learning for Combinatorial Optimization

Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization

2 June 2023

Jinkyoo Park

Papers citing "Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization"

10 / 10 papers shown

Title
Preference-Based Gradient Estimation for ML-Based Approximate Combinatorial Optimization Arman Mielke Uwe Bauknecht Thilo Strauss Mathias Niepert 64 0 0 26 Feb 2025
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization Hyeon-Seob Kim Minsu Kim Sanghyeok Choi Jinkyoo Park 33 3 0 31 Dec 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization Minsu Kim Sanghyeok Choi Hyeon-Seob Kim Jiwoo Son Jinkyoo Park Yoshua Bengio 33 23 0 11 Mar 2024
Generative Augmented Flow Networks L. Pan Dinghuai Zhang Aaron Courville Longbo Huang Yoshua Bengio 104 42 0 07 Oct 2022
DevFormer: A Symmetric Transformer for Context-Aware Device Placement Haeyeon Kim Minsu Kim Federico Berto Joungho Kim Jinkyoo Park 41 14 0 26 May 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization Minsu Kim Junyoung Park Jinkyoo Park 65 77 0 26 May 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 85 178 0 16 May 2022
Trajectory balance: Improved credit assignment in GFlowNets Nikolay Malkin Moksh Jain Emmanuel Bengio Chen Sun Yoshua Bengio 145 165 0 31 Jan 2022
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 83 323 0 20 Sep 2021
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning Cong Zhang Wen Song Zhiguang Cao Jie M. Zhang Puay Siew Tan Chi Xu 55 297 0 23 Oct 2020