Title
MuZero with Self-competition for Rate Control in VP9 Video Compression Amol Mandhane A. Zhernov Maribeth Rauh Chenjie Gu Miaosen Wang ... Jackson Broshear Julian Schrittwieser Thomas Hubert Oriol Vinyals Timothy A. Mann 93 44 0 14 Feb 2022
Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients Jiafei Lyu Yu Yang Jiangpeng Yan Xiu Li OffRL AI4CE 73 7 0 21 Dec 2021
A Benchmark for Low-Switching-Cost Reinforcement Learning Shusheng Xu Yancheng Liang Yunfei Li S. Du Yi Wu OffRL 54 0 0 13 Dec 2021
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration Lorenzo Ferretti Andrea Cini Georgios Zacharopoulos Cesare Alippi L. Pozzi 42 4 0 29 Nov 2021
Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari Dominik Schmidt Thomas Schmied OffRL 61 12 0 19 Nov 2021
GNNear: Accelerating Full-Batch Training of Graph Neural Networks with Near-Memory Processing Zhe Zhou Cong Li Xuechao Wei Xiaoyang Wang Guangyu Sun GNN 24 28 0 01 Nov 2021
Learning Collaborative Policies to Solve NP-hard Routing Problems Minsu Kim Jinkyoo Park Joungho Kim 74 115 0 26 Oct 2021
Data-Driven Offline Optimization For Architecting Hardware Accelerators Aviral Kumar Amir Yazdanbakhsh Milad Hashemi Kevin Swersky Sergey Levine 108 38 0 20 Oct 2021
A Learning-based Approach Towards Automated Tuning of SSD Configurations Daixuan Li Jian Huang 18 4 0 17 Oct 2021
Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines Tobias Müller Christoph Roch Kyrill Schmid Philipp Altmann AI4CE 86 6 0 22 Sep 2021
mGNN: Generalizing the Graph Neural Networks to the Multilayer Case Marco Grassia Manlio De Domenico G. Mangioni AI4CE 91 14 0 21 Sep 2021
Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation Nan Wu Huake He Yuan Xie Pan Li Cong Hao GNN 81 3 0 13 Sep 2021
Guiding Global Placement With Reinforcement Learning Robert M. Kirby Kolby Nottingham Rajarshi Roy Saad Godil Bryan Catanzaro 28 2 0 06 Sep 2021
VeRLPy: Python Library for Verification of Digital Designs with Reinforcement Learning Aebel Joe Shibu S. Sadhana N. Shilpa Pratyush Kumar AAML 42 6 0 09 Aug 2021
Large-scale graph representation learning with very deep GNNs and self-supervision Ravichandra Addanki Peter W. Battaglia David Budden Andreea Deac Jonathan Godwin ... Wai Lok Sibon Li Alvaro Sanchez-Gonzalez Jacklynn Stott S. Thakoor Petar Velivcković SSL AI4CE 83 25 0 20 Jul 2021
Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets Yue Gao Kry Yik-Chau Lui Pablo Hernandez-Leal 48 7 0 16 Jul 2021
Conservative Objective Models for Effective Offline Model-Based Optimization Brandon Trabucco Aviral Kumar Xinyang Geng Sergey Levine OffRL 88 94 0 14 Jul 2021
NVCell: Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning Haoxing Ren Matthew R. Fojtik Brucek Khailany OffRL 71 13 0 09 Jul 2021
Learning to Pool in Graph Neural Networks for Extrapolation Jihoon Ko Taehyung Kwon Kijung Shin Juho Lee 60 6 0 11 Jun 2021
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 108 152 0 16 Feb 2021
Machine Learning for Electronic Design Automation: A Survey Guyue Huang Jingbo Hu Yifan He Jialong Liu Mingyuan Ma ... Yuzhe Ma Haoyu Yang Bei Yu Huazhong Yang Yu Wang 65 241 0 10 Jan 2021
DeepNVM++: Cross-Layer Modeling and Optimization Framework of Non-Volatile Memories for Deep Learning A. Inci Mehmet Meric Isgenc Diana Marculescu 70 20 0 08 Dec 2020
Fast IR Drop Estimation with Machine Learning Zhiyao Xie H. Li Xiaoqing Xu Jiang Hu Yiran Chen 37 30 0 26 Nov 2020
Placement in Integrated Circuits using Cyclic Reinforcement Learning and Simulated Annealing Dhruv Vashisht Harshit Rampal Haiguang Liao Yang Lu Devika Shanbhag Elias Fallon Levent Burak Kara 60 33 0 15 Nov 2020
Track-Assignment Detailed Routing Using Attention-based Policy Model With Supervision Haiguang Liao Qingyi Dong Weiyi Qi Elias Fallon Levent Burak Kara 14 12 0 26 Oct 2020
Transferable Graph Optimizers for ML Compilers Yanqi Zhou Sudip Roy AmirAli Abdolrashidi Daniel Wong Peter C. Ma ... Mangpo Phitchaya Phothilimtha Shen Wang Anna Goldie Azalia Mirhoseini James Laudon GNN 65 55 0 21 Oct 2020
Safety Aware Reinforcement Learning (SARL) Santiago Miret Somdeb Majumdar Carroll L. Wainwright 61 1 0 06 Oct 2020
Revisiting Design Choices in Proximal Policy Optimization Chloe Ching-Yun Hsu Celestine Mendler-Dünner Moritz Hardt 159 57 0 23 Sep 2020
The Hardware Lottery Sara Hooker 96 213 0 14 Sep 2020
A Learned Performance Model for Tensor Processing Units Samuel J. Kaufman P. Phothilimthana Yanqi Zhou Charith Mendis Sudip Roy Amit Sabne Mike Burrows 76 8 0 03 Aug 2020
Deep Learning in Protein Structural Modeling and Design Wenhao Gao S. Mahajan Jeremias Sulam Jeffrey J. Gray 84 161 0 16 Jul 2020
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning Shauharda Khadka Estelle Aflalo Mattias Marder Avrech Ben-David Santiago Miret Shie Mannor Tamir Hazan Hanlin Tang Somdeb Majumdar GNN 62 11 0 14 Jul 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search Linnan Wang Rodrigo Fonseca Yuandong Tian 101 128 0 01 Jul 2020
Automated Optical Multi-layer Design via Deep Reinforcement Learning Haozhu Wang Zeyu Zheng Chengang Ji L. J. Guo 37 3 0 21 Jun 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 612 956 0 02 Mar 2020
Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles Simen Theie Havenstrom Camilla Sterud Adil Rasheed Omer San 52 3 0 03 Feb 2020