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Chip Placement with Deep Reinforcement Learning

Chip Placement with Deep Reinforcement Learning

22 April 2020
Azalia Mirhoseini
Anna Goldie
M. Yazgan
J. Jiang
Ebrahim M. Songhori
Shen Wang
Young-Joon Lee
Eric Johnson
Omkar Pathak
Sungmin Bae
Azade Nazi
Jiwoo Pak
Andy Tong
Kavya Srinivasa
W. Hang
Emre Tuncer
Ananda Babu
Quoc V. Le
James Laudon
Richard Ho
Roger Carpenter
J. Dean
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Chip Placement with Deep Reinforcement Learning"

50 / 86 papers shown
Title
Pieceformer: Similarity-Driven Knowledge Transfer via Scalable Graph Transformer in VLSI
Pieceformer: Similarity-Driven Knowledge Transfer via Scalable Graph Transformer in VLSI
Hang Yang
Yusheng Hu
Yong Liu
Cong
9
0
0
18 Jun 2025
Graph Neural Networks for Automatic Addition of Optimizing Components in Printed Circuit Board Schematics
Graph Neural Networks for Automatic Addition of Optimizing Components in Printed Circuit Board Schematics
Pascal Plettenberg
André Alcalde
Bernhard Sick
Josephine M. Thomas
102
0
0
12 Jun 2025
QForce-RL: Quantized FPGA-Optimized Reinforcement Learning Compute Engine
QForce-RL: Quantized FPGA-Optimized Reinforcement Learning Compute Engine
Anushka Jha
Tanushree Dewangan
Mukul Lokhande
Santosh Kumar Vishvakarma
21
0
0
08 Jun 2025
State Estimation and Control of Dynamic Systems from High-Dimensional Image Data
State Estimation and Control of Dynamic Systems from High-Dimensional Image Data
Ashik E Rasul
Hyung-Jin Yoon
45
0
0
30 May 2025
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse
Gregoire Fournier
Sourav Medya
BDL
124
0
0
11 May 2025
Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning
Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning
Feiyu Lu
Mengyu Chen
Hsiang Hsu
Pranav Deshpande
Cheng Yao Wang
Blair MacIntyre
86
4
0
30 Apr 2025
A2Perf: Real-World Autonomous Agents Benchmark
Ikechukwu Uchendu
Jason J. Jabbour
Korneel Van den Berghe
Joel Runevic
Matthew P. Stewart
...
S. Guadarrama
Jie Tan
Jordan K. Terry
Aleksandra Faust
Vijay Janapa Reddi
91
0
0
04 Mar 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning
Pareto Set Learning for Multi-Objective Reinforcement Learning
Erlong Liu
Yu-Chang Wu
Xiaobin Huang
Chengrui Gao
Ren-Jian Wang
Ke Xue
Chao Qian
OffRL
235
2
0
12 Jan 2025
CLDG: Contrastive Learning on Dynamic Graphs
CLDG: Contrastive Learning on Dynamic Graphs
Yiming Xu
Bin Shi
Teng Ma
Bo Dong
Haoyi Zhou
Qinghua Zheng
177
15
0
19 Dec 2024
Monte Carlo Tree Search based Space Transfer for Black-box Optimization
Monte Carlo Tree Search based Space Transfer for Black-box Optimization
Shukuan Wang
Ke Xue
Lei Song
Xiaobin Huang
Chao Qian
123
2
0
10 Dec 2024
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
Zhen Liu
Tim Z. Xiao
Weiyang Liu
Yoshua Bengio
Dinghuai Zhang
252
6
0
10 Dec 2024
That Chip Has Sailed: A Critique of Unfounded Skepticism Around AI for
  Chip Design
That Chip Has Sailed: A Critique of Unfounded Skepticism Around AI for Chip Design
Anna Goldie
Azalia Mirhoseini
J. Dean
57
0
0
15 Nov 2024
Lifelong Reinforcement Learning via Neuromodulation
Lifelong Reinforcement Learning via Neuromodulation
Sebastian Lee
Samuel Liebana Garcia
Claudia Clopath
Will Dabney
89
0
0
15 Aug 2024
MapTune: Advancing ASIC Technology Mapping via Reinforcement Learning
  Guided Library Tuning
MapTune: Advancing ASIC Technology Mapping via Reinforcement Learning Guided Library Tuning
Mingju Liu
Daniel Robinson
Yingjie Li
Cunxi Yu
47
0
0
25 Jul 2024
Preference Elicitation for Offline Reinforcement Learning
Preference Elicitation for Offline Reinforcement Learning
Alizée Pace
Bernhard Schölkopf
Gunnar Rätsch
Giorgia Ramponi
OffRL
134
1
0
26 Jun 2024
Failures Are Fated, But Can Be Faded: Characterizing and Mitigating
  Unwanted Behaviors in Large-Scale Vision and Language Models
Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models
Som Sagar
Aditya Taparia
Ransalu Senanayake
91
10
0
11 Jun 2024
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded
  Exploration in the Energy-Based Latent Space
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space
Peiyu Yu
Dinghuai Zhang
Hengzhi He
Xiaojian Ma
Ruiyao Miao
...
Deqian Kong
Ruiqi Gao
Jianwen Xie
Guang Cheng
Ying Nian Wu
97
6
0
27 May 2024
FPGA Divide-and-Conquer Placement using Deep Reinforcement Learning
FPGA Divide-and-Conquer Placement using Deep Reinforcement Learning
Shang Wang
Deepak Ranganatha Sastry Mamillapalli
Tianpei Yang
Matthew E. Taylor
83
0
0
11 Apr 2024
Omega-Regular Decision Processes
Omega-Regular Decision Processes
E. M. Hahn
Mateo Perez
S. Schewe
Fabio Somenzi
Ashutosh Trivedi
D. Wojtczak
46
0
0
14 Dec 2023
Verilog-to-PyG -- A Framework for Graph Learning and Augmentation on RTL
  Designs
Verilog-to-PyG -- A Framework for Graph Learning and Augmentation on RTL Designs
Yingjie Li
Mingju Liu
Alan Mishchenko
Cunxi Yu
49
6
0
09 Nov 2023
GSC: Generalizable Service Coordination
GSC: Generalizable Service Coordination
Farzad Mohammadi
V. Shah-Mansouri
GNN
60
1
0
05 Nov 2023
Beyond Average Return in Markov Decision Processes
Beyond Average Return in Markov Decision Processes
Alexandre Marthe
Aurélien Garivier
Claire Vernade
62
7
0
31 Oct 2023
Empowering Counterfactual Reasoning over Graph Neural Networks through
  Inductivity
Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity
S. Verma
Burouj Armgaan
Sourav Medya
Sayan Ranu
CMLAI4CE
62
0
0
07 Jun 2023
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of
  Mobile Manipulators
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
Alexander Herzog
Kanishka Rao
Karol Hausman
Yao Lu
Paul Wohlhart
...
Noah Brown
Mrinal Kalakrishnan
Julian Ibarz
P. Pastor
Sergey Levine
OffRL
88
27
0
05 May 2023
Efficient Deep Reinforcement Learning Requires Regulating Overfitting
Efficient Deep Reinforcement Learning Requires Regulating Overfitting
Qiyang Li
Aviral Kumar
Ilya Kostrikov
Sergey Levine
OffRL
118
36
0
20 Apr 2023
Tile Networks: Learning Optimal Geometric Layout for Whole-page
  Recommendation
Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation
Shuai Xiao
Zaifan Jiang
Shuang Yang
59
3
0
03 Mar 2023
DITTO: Offline Imitation Learning with World Models
DITTO: Offline Imitation Learning with World Models
Branton DeMoss
Paul Duckworth
Nick Hawes
Ingmar Posner
Ingmar Posner
OffRL
73
18
0
06 Feb 2023
Importance Weighted Actor-Critic for Optimal Conservative Offline
  Reinforcement Learning
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning
Hanlin Zhu
Paria Rashidinejad
Jiantao Jiao
OffRL
103
18
0
30 Jan 2023
Is Conditional Generative Modeling all you need for Decision-Making?
Is Conditional Generative Modeling all you need for Decision-Making?
Anurag Ajay
Yilun Du
Abhi Gupta
J. Tenenbaum
Tommi Jaakkola
Pulkit Agrawal
DiffM
160
408
0
28 Nov 2022
Data-Driven Offline Decision-Making via Invariant Representation
  Learning
Data-Driven Offline Decision-Making via Invariant Representation Learning
Qi
Yi-Hsun Su
Aviral Kumar
Sergey Levine
OffRL
91
22
0
21 Nov 2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and
  Applications
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications
Zhongkai Hao
Songming Liu
Yichi Zhang
Chengyang Ying
Yao Feng
Hang Su
Jun Zhu
PINNAI4CE
127
99
0
15 Nov 2022
Theta-Resonance: A Single-Step Reinforcement Learning Method for Design
  Space Exploration
Theta-Resonance: A Single-Step Reinforcement Learning Method for Design Space Exploration
Masood S. Mortazavi
Tiancheng Qin
Ning Yan
132
4
0
03 Nov 2022
Global Counterfactual Explainer for Graph Neural Networks
Global Counterfactual Explainer for Graph Neural Networks
Mert Kosan
Zexi Huang
Sourav Medya
Sayan Ranu
Ambuj K. Singh
108
50
0
21 Oct 2022
PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning
  Algorithm
PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
T. Basaklar
S. Gumussoy
Ümit Y. Ogras
50
41
0
16 Aug 2022
Bayesian Optimization for Macro Placement
Bayesian Optimization for Macro Placement
Changyong Oh
Roberto Bondesan
D. Kianfar
Rehan Ahmed
Rishubh Khurana
Payal Agarwal
Romain Lepert
M. Sriram
Max Welling
39
6
0
18 Jul 2022
GriddlyJS: A Web IDE for Reinforcement Learning
GriddlyJS: A Web IDE for Reinforcement Learning
C. Bamford
Minqi Jiang
Mikayel Samvelyan
Tim Rocktaschel
OnRL
94
5
0
13 Jul 2022
Efficient Deep Learning Using Non-Volatile Memory Technology
Efficient Deep Learning Using Non-Volatile Memory Technology
A. Inci
Mehmet Meric Isgenc
Diana Marculescu
98
3
0
27 Jun 2022
DeepTPI: Test Point Insertion with Deep Reinforcement Learning
DeepTPI: Test Point Insertion with Deep Reinforcement Learning
Zhengyuan Shi
Min Li
Sadaf Khan
Liuzheng Wang
Naixing Wang
Yu Huang
Qiang Xu
97
16
0
07 Jun 2022
Reinforcement Learning Approach for Mapping Applications to
  Dataflow-Based Coarse-Grained Reconfigurable Array
Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array
Andre Xian Ming Chang
Parth Khopkar
Bashar Romanous
Abhishek Chaurasia
Patrick Estep
Skyler Windh
Douglas J Vanesko
Sheik Dawood Beer Mohideen
Eugenio Culurciello
73
6
0
26 May 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Minsu Kim
Junyoung Park
Jinkyoo Park
147
90
0
26 May 2022
An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale
  Multitask Learning Systems
An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems
Andrea Gesmundo
J. Dean
134
24
0
25 May 2022
muNet: Evolving Pretrained Deep Neural Networks into Scalable
  Auto-tuning Multitask Systems
muNet: Evolving Pretrained Deep Neural Networks into Scalable Auto-tuning Multitask Systems
Andrea Gesmundo
J. Dean
109
19
0
22 May 2022
Routing and Placement of Macros using Deep Reinforcement Learning
Routing and Placement of Macros using Deep Reinforcement Learning
Mrinal Mathur
109
0
0
19 May 2022
Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems
  Using Online Reinforcement Learning
Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning
Gagandeep Singh
Rakesh Nadig
Jisung Park
Rahul Bera
Nastaran Hajinazar
D. Novo
Juan Gómez Luna
S. Stuijk
Henk Corporaal
O. Mutlu
101
35
0
15 May 2022
PrefixRL: Optimization of Parallel Prefix Circuits using Deep
  Reinforcement Learning
PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning
Rajarshi Roy
Jonathan Raiman
Neel Kant
Ilyas Elkin
Robert M. Kirby
Michael Siu
S. Oberman
Saad Godil
Bryan Catanzaro
92
40
0
14 May 2022
Equivariant quantum circuits for learning on weighted graphs
Equivariant quantum circuits for learning on weighted graphs
Andrea Skolik
Michele Cattelan
S. Yarkoni
Thomas Bäck
Vedran Dunjko
108
68
0
12 May 2022
A Survey and Perspective on Artificial Intelligence for Security-Aware
  Electronic Design Automation
A Survey and Perspective on Artificial Intelligence for Security-Aware Electronic Design Automation
D. Koblah
R. Acharya
Daniel Capecci
Olivia P. Dizon-Paradis
Shahin Tajik
F. Ganji
D. Woodard
Domenic Forte
57
12
0
19 Apr 2022
Flexible Multiple-Objective Reinforcement Learning for Chip Placement
Flexible Multiple-Objective Reinforcement Learning for Chip Placement
Fu-Chieh Chang
Yu-Wei Tseng
Ya-Wen Yu
Ssu-Rui Lee
Alexandru Cioba
...
Chien-Yi Yang
Ren-Chu Wang
Yao-Wen Chang
Tai-Chen Chen
Tung-Chieh Chen
OffRL
60
5
0
13 Apr 2022
AI/ML Algorithms and Applications in VLSI Design and Technology
AI/ML Algorithms and Applications in VLSI Design and Technology
Deepthi Amuru
Harsha V. Vudumula
Pavan K. Cherupally
Sushanth R. Gurram
Amir Ahmad
Andleeb Zahra
Zia Abbas
124
44
0
21 Feb 2022
Reinforcement Learning Framework for Server Placement and Workload
  Allocation in Multi-Access Edge Computing
Reinforcement Learning Framework for Server Placement and Workload Allocation in Multi-Access Edge Computing
Anahita Mazloomi
Hani Sami
Jamal Bentahar
Hadi Otrok
Azzam Mourad
13
26
0
21 Feb 2022
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