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Issues list

GENERALIZING HAMILTONIAN MONTE CARLO WITH NEURAL NETWORKS By: Daniel Levy et, al.
#57 opened Jan 20, 2022 by QiXuanWang
Transformers Can Do Bayesian Inference By:
#56 opened Jan 3, 2022 by QiXuanWang
A Graph Placement Methodology For Fast Chip Design. By: Azalia Mirhoseini et.all Google Placement One step in Physical Design (see routing too) Reinforcement Learning General RL
#55 opened Dec 31, 2021 by QiXuanWang
Delving into Macro Placement with Reinforcement Learning By: Zixuan Jiang, et. Google Placement One step in Physical Design (see routing too) Reinforcement Learning General RL
#54 opened Dec 31, 2021 by QiXuanWang
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms By: Kaiqing Zhang, Zhuoran Yang, Tamer Başar
#53 opened Mar 22, 2021 by QiXuanWang
Deep Reinforcement Learning for Navigation in AAA Video Games By: Eloi Alonso
#52 opened Dec 18, 2020 by QiXuanWang
An Overview of Multi-Task Learning in Deep Neural Networks By: Sebastian Ruder
#51 opened Dec 11, 2020 by QiXuanWang
Fourier Neural Operator for Parametric Partial Differential Equations By: Zongyi Li, et,all.
#50 opened Nov 25, 2020 by QiXuanWang
Chip Design with Deep Reinforcement Learning By: Google (Azalia Mirhoseini etc. Jeff Dean) GNN Graph Neural Network Reinforcement Learning General RL Routing Combination Optimization Problem
#49 opened Oct 27, 2020 by QiXuanWang
ADVANTAGE-WEIGHTED REGRESSION: SIMPLE AND SCALABLE OFF-POLICY REINFORCEMENT LEARNING
#48 opened Oct 22, 2020 by QiXuanWang
Sample-Efficient Automated Deep Reinforcement Learning By: Jörg K.H. Franke MFRL Model Free RL (dqn, sac, td3, c51, etc) PBT Reinforcement Learning General RL
#47 opened Sep 13, 2020 by QiXuanWang
Traffic prediction with advanced Graph Neural Networks By: DeepMind GNN Graph Neural Network
#46 opened Sep 7, 2020 by QiXuanWang
Problems Caused by Categorizing Continuous Variables By: Frank E Harrell Regression
#45 opened Aug 6, 2020 by QiXuanWang
Discovering Reinforcement Learning Algorithms By: Junhyuk Oh, Matteo Hessel, et,al, David Silver Meta Learning Meta Learning
#44 opened Jul 23, 2020 by QiXuanWang
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems By: UCB and Google Brain Reinforcement Learning General RL
#43 opened May 26, 2020 by QiXuanWang
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents By: Alex Mott, Daniel Zoran, Mike Chrzanowski Reinforcement Learning General RL
#42 opened May 22, 2020 by QiXuanWang
BADGR: The Berkeley Autonomous Driving Ground Robot By: Greg Kahn, Pieter Abbeel, Sergey Levine
#41 opened Apr 27, 2020 by QiXuanWang
Reinforcement Learning in Economics and Finance By: Arthur Charpentier
#40 opened Apr 18, 2020 by QiXuanWang
1
Introducing Dreamer: Scalable Reinforcement Learning Using World Models By: Danijar Hafner et. al
#39 opened Apr 16, 2020 by QiXuanWang
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model By: DeepMind MBRL Model Based RL (rainbow, dyna, MCTS Monte Carlo Tree Search
#38 opened Apr 1, 2020 by QiXuanWang
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch By: Esteban Real * 1 Chen Liang * 1 David R. So 1 Quoc V. Le 1
#37 opened Mar 18, 2020 by QiXuanWang
Goal-conditioned Imitation Learning By: Yiming Ding, Carlos Florensa, Mariano Phielipp, Pieter Abbeel ImitationLearning
#36 opened Mar 18, 2020 by QiXuanWang
GCN, GAT and GraphSAGE GNN Graph Neural Network
#35 opened Feb 29, 2020 by QiXuanWang
Learning to Solve NP-Complete Problems - A Graph Neural Network for the Decision TSP GNN Graph Neural Network Routing Combination Optimization Problem
#34 opened Feb 29, 2020 by QiXuanWang
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search By: Zhuwen Li, Qifeng Chen, Vladlen Koltun Routing Combination Optimization Problem
#33 opened Feb 28, 2020 by QiXuanWang
ProTip! What’s not been updated in a month: updated:<2024-12-10.