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Policy-Based Self-Competition for Planning Problems

Policy-Based Self-Competition for Planning Problems

7 June 2023
Jonathan Pirnay
Q. Göttl
Jakob Burger
D. G. Grimm
ArXivPDFHTML

Papers citing "Policy-Based Self-Competition for Planning Problems"

6 / 6 papers shown
Title
TSS GAZ PTP: Towards Improving Gumbel AlphaZero with Two-stage Self-play for Multi-constrained Electric Vehicle Routing Problems
TSS GAZ PTP: Towards Improving Gumbel AlphaZero with Two-stage Self-play for Multi-constrained Electric Vehicle Routing Problems
Hui Wang
Xufeng Zhang
Xiaoyu Zhang
Zhenhuan Ding
Chaoxu Mu
33
0
0
17 Feb 2025
Self-Improvement for Neural Combinatorial Optimization: Sample without
  Replacement, but Improvement
Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but Improvement
Jonathan Pirnay
D. G. Grimm
36
10
0
22 Mar 2024
Deep reinforcement learning uncovers processes for separating azeotropic
  mixtures without prior knowledge
Deep reinforcement learning uncovers processes for separating azeotropic mixtures without prior knowledge
Q. Göttl
Jonathan Pirnay
Jakob Burger
D. G. Grimm
35
0
0
10 Oct 2023
Automated Synthesis of Steady-State Continuous Processes using
  Reinforcement Learning
Automated Synthesis of Steady-State Continuous Processes using Reinforcement Learning
Q. Göttl
D. G. Grimm
Jakob Burger
AI4CE
37
20
0
12 Jan 2021
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement
  Learning
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
299
0
23 Oct 2020
Reinforcement Learning Enhanced Quantum-inspired Algorithm for
  Combinatorial Optimization
Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
D. Beloborodov
Alexander Ulanov
Jakob N. Foerster
Shimon Whiteson
A. I. L. R. Q. Center
18
21
0
11 Feb 2020
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