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Flexible Multiple-Objective Reinforcement Learning for Chip Placement

Flexible Multiple-Objective Reinforcement Learning for Chip Placement

13 April 2022
Fu-Chieh Chang
Yu-Wei Tseng
Ya-Wen Yu
Ssu-Rui Lee
Alexandru Cioba
I. Tseng
Da-shan Shiu
Jhih-Wei Hsu
Cheng-Yuan Wang
Chien-Yi Yang
Ren-Chu Wang
Yao-Wen Chang
Tai-Chen Chen
Tung-Chieh Chen
    OffRL
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Papers citing "Flexible Multiple-Objective Reinforcement Learning for Chip Placement"

10 / 10 papers shown
Title
Deep learning: a statistical viewpoint
Deep learning: a statistical viewpoint
Peter L. Bartlett
Andrea Montanari
Alexander Rakhlin
49
275
0
16 Mar 2021
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment
  Design
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
Michael Dennis
Natasha Jaques
Eugene Vinitsky
Alexandre M. Bayen
Stuart J. Russell
Andrew Critch
Sergey Levine
72
234
0
03 Dec 2020
Chip Placement with Deep Reinforcement Learning
Chip Placement with Deep Reinforcement Learning
Azalia Mirhoseini
Anna Goldie
M. Yazgan
J. Jiang
Ebrahim M. Songhori
...
Quoc V. Le
James Laudon
Richard Ho
Roger Carpenter
J. Dean
OffRL
47
216
0
22 Apr 2020
The Deep Learning Revolution and Its Implications for Computer
  Architecture and Chip Design
The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design
J. Dean
35
79
0
13 Nov 2019
A Generalized Algorithm for Multi-Objective Reinforcement Learning and
  Policy Adaptation
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation
Runzhe Yang
Xingyuan Sun
Karthik Narasimhan
74
254
0
21 Aug 2019
Evolution-Guided Policy Gradient in Reinforcement Learning
Evolution-Guided Policy Gradient in Reinforcement Learning
Shauharda Khadka
Kagan Tumer
103
226
0
21 May 2018
A Multi-Objective Deep Reinforcement Learning Framework
A Multi-Objective Deep Reinforcement Learning Framework
Thanh Thi Nguyen
Ngoc Duy Nguyen
Peter Vamplew
Saeid Nahavandi
Richard Dazeley
Chee Peng Lim
OffRL
58
110
0
08 Mar 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
444
18,931
0
20 Jul 2017
Hybrid Reward Architecture for Reinforcement Learning
Hybrid Reward Architecture for Reinforcement Learning
H. V. Seijen
Mehdi Fatemi
Joshua Romoff
Romain Laroche
Tavian Barnes
Jeffrey Tsang
34
253
0
13 Jun 2017
High-Dimensional Continuous Control Using Generalized Advantage
  Estimation
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman
Philipp Moritz
Sergey Levine
Michael I. Jordan
Pieter Abbeel
OffRL
82
3,399
0
08 Jun 2015
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